{"id":6592,"date":"2021-03-24T16:26:09","date_gmt":"2021-03-24T15:26:09","guid":{"rendered":"https:\/\/ritme.com\/software\/stata-16-logiciel-de-statistique-pour-tous-les-traitements-de-donnees\/"},"modified":"2025-07-16T16:12:06","modified_gmt":"2025-07-16T14:12:06","slug":"stata","status":"publish","type":"software","link":"https:\/\/ritme.com\/en\/software\/stata\/","title":{"rendered":"Stata"},"content":{"rendered":"\n<section class=\"wp-block-uagb-columns uagb-columns__wrap uagb-columns__background-none uagb-columns__stack-tablet uagb-columns__valign- uagb-columns__gap-10 align uagb-block-237eac16 uagb-columns__columns-2 uagb-columns__max_width-theme video-text-columns valign-center\"><div class=\"uagb-columns__overlay\"><\/div><div class=\"uagb-columns__inner-wrap uagb-columns__columns-2\">\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-1103bcdf\"><div class=\"uagb-column__overlay\"><\/div>\n<section class=\"wp-block-uagb-section uagb-section__wrap uagb-section__background-undefined uagb-block-4e8f667b section-video\"><div class=\"uagb-section__overlay\"><\/div><div class=\"uagb-section__inner-wrap\">\n<figure class=\"wp-block-image size-full is-style-rounded\"><img loading=\"lazy\" decoding=\"async\" width=\"676\" height=\"456\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/img_Stata19_page-logiciel.png\" alt=\"\" class=\"wp-image-45735\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/img_Stata19_page-logiciel.png 676w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/img_Stata19_page-logiciel-500x337.png 500w\" sizes=\"auto, (max-width: 676px) 100vw, 676px\" \/><\/figure>\n<\/div><\/section>\n<\/div>\n\n\n\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-090de4ce\"><div class=\"uagb-column__overlay\"><\/div>\n<h2 class=\"wp-block-heading\">Stata 19: The complete statistical software for your data analysis<\/h2>\n\n\n\n<p><strong>Powerful tools. Smoother workflows. Smarter research.<\/strong><\/p>\n\n\n\n<p>Stata is a <strong>complete<\/strong> and <strong>integrated statistical<\/strong> software package designed to meet all your <strong>data science<\/strong> needs: advanced statistics, customizable visualizations, efficient data management, and automated, reproducible reporting.<\/p>\n\n\n\n<p><strong>Stata 19<\/strong> pushes the boundaries of analysis with powerful new features that enhance precision, simplify workflows, and accelerate research.<\/p>\n<\/div>\n<\/div><\/section>\n\n\n\n<section class=\"wp-block-uagb-columns uagb-columns__wrap uagb-columns__background-none uagb-columns__stack-tablet uagb-columns__valign- uagb-columns__gap-10 align uagb-block-61a67a6a uagb-columns__columns-2 uagb-columns__max_width-theme reasons-and-testimonial\"><div class=\"uagb-columns__overlay\"><\/div><div class=\"uagb-columns__inner-wrap uagb-columns__columns-2\">\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-f9b1c03f reasons-list\"><div class=\"uagb-column__overlay\"><\/div>\n<h2 class=\"wp-block-heading\"><strong>5<\/strong> good reasons to use this software<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Complete statistical software<\/li>\n\n\n\n<li>Easy to use and learn<\/li>\n\n\n\n<li>Reference software for econometrics, epidemiology and survey processing<\/li>\n\n\n\n<li>Rich technical support and documentation<\/li>\n\n\n\n<li>Easy and fast processing of large data sets<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-496c7fc5\"><div class=\"uagb-column__overlay\"><\/div><div class=\"testimonial-wrapper teaser wp-block-create-block-testimonial\"><div class=\"testimonial\">\n\t<div class=\"image\"><img loading=\"lazy\" decoding=\"async\" width=\"705\" height=\"350\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/05\/STATA.png\" class=\"attachment-post-thumbnail size-post-thumbnail wp-post-image\" alt=\"\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/05\/STATA.png 705w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/05\/STATA-500x248.png 500w\" sizes=\"auto, (max-width: 705px) 100vw, 705px\" \/><\/div>\n\t<div class=\"content\">\n\t\t<div class=\"text\">\n\t\t\t<div class=\"text-inner\">\n\t\t\t\tStata offers advantages over other similar software packages in that it is user-friendly, flexible through its programming and graphics interface, has excellent help files and command manuals, and a large, worldwide user-network.\t\t\t<\/div>\n\t\t<\/div>\n\t\t<div class=\"author-wrapper\">\n\t\t\t<div class=\"name\">Sun\u010dica Vuji\u0107<\/div>\n\t\t\t\t\t\t\t<div class=\"function\">Associate Professor of Applied Econometrics at the University of Antwerp<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/section>\n\n\n\n<section class=\"wp-block-uagb-columns uagb-columns__wrap uagb-columns__background-none uagb-columns__stack-tablet uagb-columns__valign- uagb-columns__gap-10 align uagb-block-b6ed8c29 uagb-columns__columns-2 uagb-columns__max_width-theme content-with-right-sidebar\"><div class=\"uagb-columns__overlay\"><\/div><div class=\"uagb-columns__inner-wrap uagb-columns__columns-2\">\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-3e384e56 main-col\"><div class=\"uagb-column__overlay\"><\/div>\n\tThis form cannot be loaded from admin screens\n\n\n\n<h3 class=\"wp-block-heading\" id=\"Pourquoi\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Why choose Stata?<\/mark><\/h3>\n\n\n\n<p>Stata is a comprehensive software that covers all your needs to analyze your data efficiently and accurately: <em>statistics, visualization, data manipulation, automated reports.<\/em><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">The reference in:&nbsp;<\/h4>\n\n\n\n<section class=\"wp-block-uagb-columns uagb-columns__wrap uagb-columns__background-none uagb-columns__stack-mobile uagb-columns__valign- uagb-columns__gap-10 align uagb-block-f9cfeb2d uagb-columns__columns-2 uagb-columns__max_width-theme\"><div class=\"uagb-columns__overlay\"><\/div><div class=\"uagb-columns__inner-wrap uagb-columns__columns-2\">\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-e19a45f4\"><div class=\"uagb-column__overlay\"><\/div>\n<ul class=\"wp-block-list\">\n<li>Econometrics<\/li>\n\n\n\n<li>Epidemiology<\/li>\n\n\n\n<li>Survey research<\/li>\n\n\n\n<li>Behavioral Science<\/li>\n\n\n\n<li>Biostatistics<\/li>\n\n\n\n<li>Data science<\/li>\n\n\n\n<li>Institutional Research<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-40e28d48\"><div class=\"uagb-column__overlay\"><\/div>\n<ul class=\"wp-block-list\">\n<li>Medicine<\/li>\n\n\n\n<li>Political Science<\/li>\n\n\n\n<li>Education<\/li>\n\n\n\n<li>Finance, business and marketing<\/li>\n\n\n\n<li>Public Health<\/li>\n\n\n\n<li>Public Policy<\/li>\n\n\n\n<li>Sociology<\/li>\n<\/ul>\n<\/div>\n<\/div><\/section>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Data management<\/h4>\n\n\n\n<p>Stata offers many features allowing you a total control over your data:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Import\/Export<\/li>\n\n\n\n<li>Data transformation<\/li>\n\n\n\n<li>ODBC support<\/li>\n\n\n\n<li>Combination of datasets,<\/li>\n\n\n\n<li>Specific data management (cross-sectional data: panel data, time series, longitudinal data, slice data\u2026)<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Key statistical features<\/h4>\n\n\n\n<p>Stata gives you access to a wide range of statistical features:<\/p>\n\n\n\n<p><em>Contrast; Pairewise; Comparison and margins; Epidemiology; GMM; Longitudinal data\/panel data; Bayesian analysis; Structural Equation Modelling (SEM); Survey processing; Treatment effects; Time series&#8230;.<\/em><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Quality graphics<\/h4>\n\n\n\n<p>You can easily generate quality graphics for your publications and reports:<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:15px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"602\" height=\"383\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2023\/04\/Stata-18-Graphiques.png\" alt=\"Graphic - Stata 18\" class=\"wp-image-32466\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2023\/04\/Stata-18-Graphiques.png 602w, https:\/\/ritme.com\/wp-content\/uploads\/2023\/04\/Stata-18-Graphiques-500x318.png 500w\" sizes=\"auto, (max-width: 602px) 100vw, 602px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:25px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Reproducibility, Testing and Certification (FDA)<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reproducibility between different operating systems and between different editions of Stata<\/li>\n\n\n\n<li>Tested, verified, and certified commands and functions<\/li>\n\n\n\n<li>Certified by the FDA for submissions to regulatory agencies<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Ease of use<\/h4>\n\n\n\n<p>Stata offers a user-friendly interface allowing easy access to all features, even for non- programmers.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">StataCorp Technical Support<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>As a user of the current edition of Stata (Stata 19), you are entitled to free technical support<\/li>\n\n\n\n<li>Quick, clear, precise and detailed answers<\/li>\n\n\n\n<li>A dedicated team of researchers and experts (master, PHD)<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Documentation, resource sharing, user community<\/h4>\n\n\n\n<p>As a Stata user, you have access to many resources and can count on a very dynamic community:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>35 manuals with over 18,000 pages<\/li>\n\n\n\n<li>User forum, Stata researchers&#8217; blog<\/li>\n\n\n\n<li>Stata Journal: quarterly class A journal<\/li>\n\n\n\n<li>Stata International Conferences<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Cross-platform compatible<\/h4>\n\n\n\n<p>Stata is compatible with Windows, Mac and Linux platforms.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">An edition that adapts to your needs<\/h4>\n\n\n\n<p>Depending on the power of your computers and the volume of data to be processed, Stata offers a range of 3 different editions to suit your needs:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Stata\/BE<\/strong>: Basic edition; for medium-sized datasets<\/li>\n\n\n\n<li><strong>Stata\/SE<\/strong>: Standard edition; for larger datasets<\/li>\n\n\n\n<li><strong>Stata\/MP<\/strong>: Multi-Processors; the fastest edition of Stata (for dual-core, quad-core and multi-core\/multi- processor computers); for the largest datasets<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Affordable price<\/h4>\n\n\n\n<p>Stata is offered as a complete package, without any additional module!<\/p>\n\n\n\n<p>All Stata Versions offer the same features, but here are several purchase options to fit your specific needs, whether you have large datasets to handle or are in need for the fastest computing ever.<\/p>\n\n\n\n<p>Annual and multiyear subscriptions are the easiest way to secure access to the latest features and keep you focus on your research. <\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:30px\" aria-hidden=\"true\"><\/div>\n\n\n\n<div class=\"wp-block-getwid-table\"><table><tbody><tr><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong>Software<\/strong><\/td><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong>Max. number of variables<\/strong><\/td><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong><strong>Max. number of right-hand variables<\/strong><\/strong><\/td><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong><strong>Max. number of observations<\/strong><\/strong><\/td><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong><strong>64-bit edition available<\/strong><\/strong><\/td><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong><strong>Design for parallel<\/strong><br><strong>computing<\/strong><br><strong>?<\/strong><\/strong><\/td><td style=\"background-color:#D7E4EF;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong><strong>Platforms<\/strong><\/strong><\/td><\/tr><tr><td style=\"background-color:#f1f8fb;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong>Stata\/MP<\/strong><\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">120 000<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">65 532<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">20 billion*<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">Yes<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">Yes<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">Win, Mac (64-bits) or Unix<\/td><\/tr><tr><td style=\"background-color:#f1f8fb;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong>Stata\/SE<\/strong><\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">32 767<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">10 998<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">2.14 billion*<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">Yes<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">No<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">Win, Mac or Unix<\/td><\/tr><tr><td style=\"background-color:#f1f8fb;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px\"><strong>Stata\/BE<\/strong><\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">2 048<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">798<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">2.14 billion*<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">Yes<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;text-align:center\">No<\/td><td style=\"background-color:#fbfcfd;border-color:#ffffff;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px;border-width:3px;vertical-align:middle;text-align:center\">Win, Mac or Unix<\/td><\/tr><\/tbody><\/table><\/div>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:30px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"statanow\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">StataNow\u2122<strong> <em>(New)<\/em><\/strong><\/mark><\/h3>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:5px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p><strong><strong>New features straight from development to you<\/strong><\/strong><\/p>\n\n\n\n<p>StataNow\u2122 is a continuous-release version of Stata that offers new features as soon as they are ready, without having to wait for the next major release.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:25px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image is-style-rounded\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"605\" height=\"318\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2024\/05\/img-StataNow-new-features.jpg\" alt=\"\" class=\"wp-image-39197\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2024\/05\/img-StataNow-new-features.jpg 605w, https:\/\/ritme.com\/wp-content\/uploads\/2024\/05\/img-StataNow-new-features-500x263.jpg 500w\" sizes=\"auto, (max-width: 605px) 100vw, 605px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:40px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p>With StataNow\u2122, new features are regularly released throughout the current version, from the latest statistical methods to the best in reporting, data visualization, and the user interface. So, you always benefit from the best version of Stata.<\/p>\n\n\n\n<p>All StataNow\u2122 features are rigorously tested and certified, guaranteeing the same level of <strong>quality<\/strong> as usual.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:5px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p>See StataNow\u2122 features:<br><a href=\"https:\/\/www.stata.com\/new-in-stata\/features\/#statanow\" target=\"_blank\" rel=\"noreferrer noopener\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">https:\/\/www.stata.com\/new-in-stata\/features\/#statanow<\/mark><\/a><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:25px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p><strong><strong>How to take advantage of it?<\/strong><\/strong><\/p>\n\n\n\n<p>All Stata annual license holders have access to StataNow\u2122, whether as an annual, multi-year or site license. By subscribing to a Stata 19 annual license, you can thus enjoy continuous updates of StataNow\u2122.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:30px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"features\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Stata Features<\/mark><\/h3>\n\n\n\n<p>Stata includes a wide range of features to meet all your data science needs. Some of the key features are listed below:<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n<style>#sp-ea-32520 .spcollapsing { height: 0; overflow: hidden; transition-property: height;transition-duration: 300ms;}#sp-ea-32520.sp-easy-accordion>.sp-ea-single {margin-bottom: 10px; border: 0px none #e2e2e2; }#sp-ea-32520.sp-easy-accordion>.sp-ea-single>.ea-header a {color: #373f41;}#sp-ea-32520.sp-easy-accordion>.sp-ea-single>.sp-collapse>.ea-body {background: transparent; color: #737b7d;}#sp-ea-32520.sp-easy-accordion>.sp-ea-single {background: transparent;}#sp-ea-32520.sp-easy-accordion>.sp-ea-single>.ea-header a .ea-expand-icon { float: left; color: #007cbb;font-size: 15px;}span {\r\n  display:inline-block;\r\n\tpadding-top:15px;\r\n}\r\n\r\nh4#transfert, h4#retranscription, h4#editions {\r\n\tdisplay:inline-block;\r\n\tpadding-top:10px;\r\n}\r\n\r\nh4#transfert {\r\npadding-top:25px;\r\n}<\/style><div id=\"sp_easy_accordion-1775250834\"><div id=\"sp-ea-32520\" class=\"sp-ea-one sp-easy-accordion\" data-ea-active=\"ea-click\" data-ea-mode=\"vertical\" data-preloader=\"\" data-scroll-active-item=\"\" data-offset-to-scroll=\"0\"><div class=\"ea-card ea-expand sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325200\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325200\" aria-controls=\"collapse325200\" href=\"#\" aria-expanded=\"true\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-minus\"><\/i> Data management<\/a><\/h3><div class=\"sp-collapse spcollapse collapsed show\" id=\"collapse325200\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325200\"> <div class=\"ea-body\"><p>Data transformations; match-merge; data import\/export; ODBC; SQL; XML; group processing; adding files; sorting; row-column transposition; labeling; saving results...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325201\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325201\" aria-controls=\"collapse325201\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Basic statistical features<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325201\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325201\"> <div class=\"ea-body\"><p>Summaries; cross-tabulations; correlations; t-tests; equality of variance tests; proportion tests; confidence intervals; factorial variables...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325202\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325202\" aria-controls=\"collapse325202\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Graphics<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325202\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325202\"> <div class=\"ea-body\"><p>Curves; scatterplots; histograms; pie charts; hi-lo charts; contour plots; graph editor; diagnostic regression plots; non-parametric smoothers; Q-Q graph distribution...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325203\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325203\" aria-controls=\"collapse325203\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Graphical user interface<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325203\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325203\"> <div class=\"ea-body\"><p>Results window; Command window; Examination window; Data editor; Head of variables; Ne-file editor; Variable properties; Viewer; Clipboard preview tool; Menus\/dialogs for all commands; multiple preference sets...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325204\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325204\" aria-controls=\"collapse325204\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Longitudinal \/ panel data<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325204\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325204\"> <div class=\"ea-body\"><p>Random and fixed effects with robust standard errors; linear mixed models; random effects probit; GEE; random and fixed Poisson effects; dynamic panel data models; instrumental variables regression models; AR (1) perturbations\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325205\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325205\" aria-controls=\"collapse325205\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Time series<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325205\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325205\"> <div class=\"ea-body\"><p>ARIMA; ARFIMA; ARCH\/GARCH; VAR; VECM; multivariate GARCH; unobserved component model; state-space models; business schedules; forecasts; impulse-response functions; unit root tests; smoothers\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325206\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325206\" aria-controls=\"collapse325206\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Multilevel mixed effects models<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325206\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325206\"> <div class=\"ea-body\"><p>Continuous and binary outcomes; cross-random effects; ML and REML estimation; residual error structures; support for survey data in multilevel linear models...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325207\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325207\" aria-controls=\"collapse325207\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Survey Methods<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325207\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325207\"> <div class=\"ea-body\"><p>Bootstrap; BRR, linearized jackknife and SDR variance estimation; poststratification; DEFF; predictive margins; means; proportions, ratios; totals; summary tables; instrumental variables; probit; Cox regression...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325208\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325208\" aria-controls=\"collapse325208\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> ANOVA \/ MANOVA<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325208\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325208\"> <div class=\"ea-body\"><p>Symmetric and asymmetric designs; factorial, nested and mixed designs; repeated measures; marginal means; contrasts...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-325209\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse325209\" aria-controls=\"collapse325209\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Survival analysis<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse325209\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-325209\"> <div class=\"ea-body\"><p>Kaplan-Meier and Nelson-Aalen estimators; Cox regression (fragility); parametric models (fragility); competing risks; covariates; left and right censoring; exponential Weibull analysis and Gompertz models; sample size and power analysis...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252010\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252010\" aria-controls=\"collapse3252010\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> SEM (Structural Equation Modeling)<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252010\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252010\"> <div class=\"ea-body\"><p>Graphical model builder; standardized and non-standardized estimates; modification indices; direct and indirect effects; path diagrams; factor scores and other predictions; estimates with groups and invariance tests; goodness of fit; MAR data manipulation by FIML; survey data; pooled data\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252011\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252011\" aria-controls=\"collapse3252011\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Tests, predictions and effects<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252011\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252011\"> <div class=\"ea-body\"><p>Wald tests; LR tests; linear and non-linear combinations; generalized forecasts and predictions; marginal means; least squares means; adjusted means; marginal and partial effects; Hausman tests...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252012\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252012\" aria-controls=\"collapse3252012\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Multivariate methods<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252012\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252012\"> <div class=\"ea-body\"><p>Factor analysis; principal components; discriminant analysis; rotation; multidimensional scaling; procrustes analysis; correspondence analysis; biplots; dendrograms...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252013\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252013\" aria-controls=\"collapse3252013\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Contrasts and pairwise comparisons<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252013\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252013\"> <div class=\"ea-body\"><p>Comparison of means, intercepts or slopes; comparison of adjacent categories; comparison with reference or grand mean category; orthogonal polynomials; adjustment for multiple comparisons; treatment effects; graphical effects and potential outcomes\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252014\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252014\" aria-controls=\"collapse3252014\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Generalized Linear Models (GLM)<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252014\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252014\"> <div class=\"ea-body\"><p>Ten link functions; user-defined links; seven distributions; ML and IRLS estimation; nine variance estimators; seven residuals\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252015\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252015\" aria-controls=\"collapse3252015\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Epidemiology<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252015\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252015\"> <div class=\"ea-body\"><p>Rate normalization; case-control; cohort; matched case-control; Mantel-Haenszel; pharmacokinetics; ROC analysis; ICD-9-CM...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252016\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252016\" aria-controls=\"collapse3252016\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Non-parametric methods<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252016\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252016\"> <div class=\"ea-body\"><p>Wilcoxon-Mann-Whitney ranks; Wilcoxon and Kruskal-Wallis tests; Spearman and Kendall correlations; Kolmogorov-Smirnov tests; exact binomial CI; survival data; ROC analysis; smoothing; bootstrapping\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252017\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252017\" aria-controls=\"collapse3252017\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Other statistical methods<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252017\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252017\"> <div class=\"ea-body\"><p>Sample size and power; Kappa measure of agreement between two coders; Cronbach's alpha, normality tests; mathematical and statistical functions...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252018\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252018\" aria-controls=\"collapse3252018\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Exact statistics<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252018\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252018\"> <div class=\"ea-body\"><p>Exact logistics and Poisson regression; exact case-control study; binomial test; Fisher's exact test for <em>r \u00d7 c <\/em>tables...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252019\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252019\" aria-controls=\"collapse3252019\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Non-linear regression GMM<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252019\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252019\"> <div class=\"ea-body\"><p>Generalized method of moments (GMM); non-linear regression...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252020\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252020\" aria-controls=\"collapse3252020\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Resampling and simulation methods<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252020\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252020\"> <div class=\"ea-body\"><p>Bootstrap; jackknife; Monte Carlo simulation, permutation test...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252021\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252021\" aria-controls=\"collapse3252021\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Maximum likelihood<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252021\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252021\"> <div class=\"ea-body\"><p>User-specified functions; NR, DFP, BFGS, BHHH; OIM, OPG, robust, bootstrap, and jackknife matrices; Wald tests; survey data; numerical or analytical derivatives\u2026<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252022\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252022\" aria-controls=\"collapse3252022\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Programming language<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252022\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252022\"> <div class=\"ea-body\"><p>Adding new commands; scripting commands; if; while; parsing commands; debugging; programming menu and dialog box; markup and control language...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252023\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252023\" aria-controls=\"collapse3252023\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Installation qualification<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252023\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252023\"> <div class=\"ea-body\"><p>IQ report for regulatory agencies such as the FDA; verification of the accessibility of the facility for people with disabilities...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252024\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252024\" aria-controls=\"collapse3252024\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Commands provided by the community<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252024\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252024\"> <div class=\"ea-body\"><p>Thousands of free additions: for meta-analysis; data management; survival; econometrics...<\/p><\/div><\/div><\/div><div class=\"ea-card sp-ea-single\"><h3 class=\"ea-header\"><a class=\"collapsed\" id=\"ea-header-3252025\" role=\"button\" data-sptoggle=\"spcollapse\" data-sptarget=\"#collapse3252025\" aria-controls=\"collapse3252025\" href=\"#\" aria-expanded=\"false\" tabindex=\"0\"><i aria-hidden=\"true\" role=\"presentation\" class=\"ea-expand-icon eap-icon-ea-expand-plus\"><\/i> Internet capacity<\/a><\/h3><div class=\"sp-collapse spcollapse \" id=\"collapse3252025\" data-parent=\"#sp-ea-32520\" role=\"region\" aria-labelledby=\"ea-header-3252025\"> <div class=\"ea-body\"><p>Ability to install new commands; web updates; web file sharing; latest news from Stata and much more...<\/p><\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:35px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"new\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">What&#8217;s new in Stata 19<\/mark><\/h3>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:20px\" aria-hidden=\"true\"><\/div>\n\n\n\n<div class=\"wp-block-getwid-video-popup has-image\"><a class=\"wp-block-getwid-video-popup__link\" href=\"https:\/\/www.youtube.com\/watch?v=9rzGnQhCNmQ\"><div class=\"wp-block-getwid-video-popup__wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"676\" height=\"456\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2023\/04\/img_Stata18-frame-video-2.png\" alt=\"\" class=\"wp-block-getwid-video-popup__image wp-block-getwid-video-popup__source wp-image-32583\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2023\/04\/img_Stata18-frame-video-2.png 676w, https:\/\/ritme.com\/wp-content\/uploads\/2023\/04\/img_Stata18-frame-video-2-500x337.png 500w\" sizes=\"auto, (max-width: 676px) 100vw, 676px\" \/><div class=\"wp-block-getwid-video-popup__button is-style-default has-animation-pulse\" style=\"border-color:#FAC845\"><div class=\"wp-block-getwid-video-popup__icon has-background has-ritme-yellow-background-color\" style=\"border-color:#FAC845\"><i class=\"fas fa-play\" aria-hidden=\"true\"><\/i><\/div><\/div><\/div><\/a><div class=\"wp-block-getwid-video-popup__caption\"><\/div><\/div>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:20px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p>Stata 19 includes many new enhancements. Here is a zoom at some key features:<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Machine Learning via H20<\/h4>\n\n\n\n<p>Use the power of machine learning directly within Stata. With the new <strong>h2oml suite<\/strong>, you can leverage H2O\u2019s ensemble decision tree methods such as random forest and gradient boosting machine (GBM) to perform classification or regression. Stata supports automatic hyperparameter tuning, cross-validation, SHAP values, partial dependence plots, and integrated predictions, providing a robust and transparent machine learning workflow.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:15px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"680\" height=\"393\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/machine-learning-H20.png\" alt=\"Machine Learning via H20\" class=\"wp-image-45744\" style=\"width:317px;height:200px\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/machine-learning-H20.png 680w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/machine-learning-H20-500x289.png 500w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.youtube.com\/watch?v=NENbeTuW0AY&amp;list=PLN5IskQdgXWktuHl3uj-b7LcuxAjvbZkr&amp;index=5\" target=\"_blank\" rel=\"noopener\"><em><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Watch the video<\/mark><\/em><\/a><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:35px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Conditional average treatment effects (CATE)<\/h4>\n\n\n\n<p>Go beyond average treatment effects with the new <strong>CATE command<\/strong>. Estimate treatment effects at the individual or group level using robust methods such as partialing out and augmented inverse-probability weighting. Choose from flexible modeling approaches including lasso, generalized random forests, and parametric models. Generate predictions, create visualizations, and perform inference, all within a unified and intuitive framework.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:15px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"680\" height=\"393\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Effets-de-Traitement-Conditionnels.png\" alt=\"Conditional average treatment effects (CATE)\" class=\"wp-image-45748\" style=\"width:317px;height:200px\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Effets-de-Traitement-Conditionnels.png 680w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Effets-de-Traitement-Conditionnels-500x289.png 500w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.youtube.com\/watch?v=_3duebYdGXQ&amp;list=PLN5IskQdgXWktuHl3uj-b7LcuxAjvbZkr&amp;index=6\" target=\"_blank\" rel=\"noopener\"><em><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Watch the video<\/mark><\/em><\/a><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:35px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">High-dimensional fixed effects (HDFE)<\/h4>\n\n\n\n<p>Stata 19 allows you to absorb multiple high-dimensional categorical variables in linear regressions, fixed-effects models, and instrumental variables models using the absorb option with <strong>areg<\/strong>, <strong>xtreg<\/strong>, and <strong>ivregress commands<\/strong>. This approach significantly reduces computation time while preserving the accuracy of your model estimates.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:15px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"680\" height=\"393\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Effets-Fixes-Haute-Dimension.png\" alt=\"High-dimensional fixed effects (HDFE)\" class=\"wp-image-45752\" style=\"width:317px;height:200px\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Effets-Fixes-Haute-Dimension.png 680w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Effets-Fixes-Haute-Dimension-500x289.png 500w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.youtube.com\/watch?v=odYb4OwgEMc&amp;list=PLN5IskQdgXWktuHl3uj-b7LcuxAjvbZkr&amp;index=7\" target=\"_blank\" rel=\"noopener\"><em><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Watch the video<\/mark><\/em><\/a><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:35px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Bayesian variable selection for linear regression<\/h4>\n\n\n\n<p>With the <strong>bayesselect command<\/strong>, identify the most relevant predictors for your linear regression models while accounting for model uncertainty. Access inclusion probabilities, posterior effects, and credible intervals, fully integrated with Stata\u2019s comprehensive suite of Bayesian postestimation tools.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:15px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"680\" height=\"393\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Selection-bayesienne-variables-regression-lineaire.png\" alt=\"Bayesian variable selection for linear regression\" class=\"wp-image-45756\" style=\"width:317px;height:200px\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Selection-bayesienne-variables-regression-lineaire.png 680w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Selection-bayesienne-variables-regression-lineaire-500x289.png 500w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.youtube.com\/watch?v=zflBynyOhh0&amp;list=PLN5IskQdgXWktuHl3uj-b7LcuxAjvbZkr&amp;index=8\" target=\"_blank\" rel=\"noopener\"><em><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Watch the video<\/mark><\/em><\/a><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:35px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Interval-censored multiple-event Cox model<\/h4>\n\n\n\n<p>Use the new <strong>stmgintcox command<\/strong> to analyze interval-censored multiple-event data, often encountered in longitudinal studies. Fit models with fixed or time-varying covariates, test for common covariate effects across events, visualize survival curves, and assess model fit for each event individually.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:15px\" aria-hidden=\"true\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"680\" height=\"393\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Modele-Cox.png\" alt=\"Interval-censored multiple-event Cox model\" class=\"wp-image-45760\" style=\"object-fit:cover;width:390px;height:266px\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Modele-Cox.png 680w, https:\/\/ritme.com\/wp-content\/uploads\/2021\/03\/Modele-Cox-500x289.png 500w\" sizes=\"auto, (max-width: 680px) 100vw, 680px\" \/><\/figure>\n<\/div>\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:10px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.youtube.com\/watch?v=fu0bT9DpSh0&amp;list=PLN5IskQdgXWktuHl3uj-b7LcuxAjvbZkr&amp;index=9\" target=\"_blank\" rel=\"noopener\"><em><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Watch the video<\/mark><\/em><\/a><\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:45px\" aria-hidden=\"true\"><\/div>\n\n\n\n<p>Stata 19 offers other <strong>major new features <\/strong>among which:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Meta-analysis for correlations<\/li>\n\n\n\n<li>Correlated random-effects (CRE) model<\/li>\n\n\n\n<li>Panel-data vector autoregressive (VAR) model<\/li>\n\n\n\n<li>Bayesian bootstrap and replicate weights<\/li>\n\n\n\n<li>Control-function linear and probit models<\/li>\n\n\n\n<li>Bayesian quantile regression via asymmetric Laplace likelihood<\/li>\n\n\n\n<li>Inference robust to weak instruments<\/li>\n\n\n\n<li>SVAR models via instrumental variables<\/li>\n\n\n\n<li>Instrumental-variables local-projection IRFs<\/li>\n\n\n\n<li>Mundlak specification test<\/li>\n\n\n\n<li>Latent class model-comparison statistics<\/li>\n\n\n\n<li>Do-file Editor: autocompletion, templates, and more<\/li>\n\n\n\n<li>PyStata enhancements<\/li>\n\n\n\n<li>Robust SEs for VAR models<\/li>\n\n\n\n<li>Half-Cauchy and Rayleigh priors for Bayesian analysis<\/li>\n\n\n\n<li>Bayesian predictions in user-defined evaluators<\/li>\n\n\n\n<li>French-language user interface<\/li>\n\n\n\n<li>And much more&#8230;<\/li>\n<\/ul>\n\n\n\n<p><i style=\"color:#007aba;padding-right:5px;\" class=\"cbt-fa-icons fas fa-long-arrow-alt-right\"><\/i> Find in detail all the new key features of Stata 19 <a href=\"https:\/\/www.stata.com\/new-in-stata\/\" target=\"_blank\" rel=\"noreferrer noopener\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">here<\/mark><\/a>.<\/p>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:20px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"configuration\"><mark style=\"padding:0px;background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-ritme-blue-color\">Configuration<\/mark><\/h3>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:20px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Operating systems<\/h4>\n\n\n\n<div class=\"wp-block-getwid-table\"><table><tbody><tr><td style=\"background-color:#d7e4ef;text-align:center;border-color:#ffffff;color:#373f41;border-width:3px;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\"><strong>Operating system<\/strong><\/td><td style=\"background-color:#d7e4ef;text-align:center;border-color:#ffffff;color:#373f41;border-width:3px;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\"><strong>Version<\/strong><\/td><\/tr><tr><td style=\"background-color:#f1f8fb;text-align:center;border-color:#ffffff;color:#373f41;border-width:3px;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\"><strong>Microsoft Windows<\/strong><\/td><td style=\"padding-left:10px;padding-top:10px;padding-bottom:10px;background-color:#fbfcfd;border-color:#ffffff;color:#373f41;border-width:3px;padding-right:10px\">Windows 11*<br>Windows 10*<br>Windows Server 2022, 2019, 2016, 2012R2*<\/td><\/tr><tr><td style=\"background-color:#f1f8fb;text-align:center;border-color:#ffffff;color:#373f41;border-width:3px;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\"><strong>Apple MacOS<\/strong><\/td><td style=\"padding-left:10px;padding-top:10px;padding-bottom:10px;background-color:#fbfcfd;border-color:#ffffff;color:#373f41;border-width:3px;padding-right:10px\">Mac with Apple Silicon or Intel processor (Core i3 or higher)<br>\u2022 Apple Silicon&nbsp;: macOS 11 (Big Sur) through macOS 15 (Sequoia)<br>\u2022 Intel&nbsp;: macOS 10.13 (High Sierra) through macOS 15 (Sequoia)<\/td><\/tr><tr><td style=\"background-color:#f1f8fb;text-align:center;border-color:#ffffff;color:#373f41;border-width:3px;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\"><strong>Linux<\/strong><\/td><td style=\"padding-left:10px;padding-top:10px;padding-bottom:10px;background-color:#fbfcfd;border-color:#ffffff;color:#373f41;border-width:3px;padding-right:10px\">Any 64-bit architecture (Core i3 equivalent or better) running Linux<br>Minimum requirements include the GNU C library (glibc) 2.28 or later and libcurl4<br>For Stata, you must have GTK 2.24 installed<\/td><\/tr><\/tbody><\/table><figcaption><em>(*) Windows 64-bit<\/em><\/figcaption><\/div>\n\n\n\n<div class=\"wp-block-getwid-advanced-spacer\" style=\"height:35px\" aria-hidden=\"true\"><\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Memory and disk space configuration<\/h4>\n\n\n\n<div class=\"wp-block-getwid-table\"><table><tbody><tr><td style=\"background-color:#D7E4EF;text-align:center;padding-bottom:10px;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;padding-top:10px;padding-right:10px;padding-left:10px\"><strong>Package<\/strong><\/td><td style=\"background-color:#D7E4EF;text-align:center;padding-bottom:10px;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;padding-top:10px;padding-right:10px;padding-left:10px\"><strong><strong>Random Access Memory (RAM)<\/strong><\/strong><\/td><td style=\"background-color:#D7E4EF;text-align:center;padding-bottom:10px;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;padding-top:10px;padding-right:10px;padding-left:10px\"><strong>Disk space<\/strong><\/td><\/tr><tr><td style=\"background-color:#f1f8fb;text-align:center;padding-bottom:10px;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;padding-top:10px;padding-right:10px;padding-left:10px\"><strong>Stata\/MP<\/strong><br>Fast and powerful<\/td><td style=\"text-align:center;vertical-align:middle;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;background-color:#fbfcfd;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\">4 GB<\/td><td style=\"text-align:center;vertical-align:middle;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;background-color:#fbfcfd;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\">2 GB<\/td><\/tr><tr><td style=\"background-color:#f1f8fb;text-align:center;padding-bottom:10px;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;padding-top:10px;padding-right:10px;padding-left:10px\"><strong>Stata\/SE<\/strong><br>large data sets<\/td><td style=\"text-align:center;vertical-align:middle;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;background-color:#fbfcfd;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\">2 GB<\/td><td style=\"text-align:center;vertical-align:middle;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;background-color:#fbfcfd;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\">2 GB<\/td><\/tr><tr><td style=\"background-color:#f1f8fb;text-align:center;padding-bottom:10px;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;padding-top:10px;padding-right:10px;padding-left:10px\"><strong>Stata\/BE<\/strong><br>basic edition<\/td><td style=\"text-align:center;vertical-align:middle;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;background-color:#fbfcfd;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\">1 GB<\/td><td style=\"text-align:center;vertical-align:middle;border-color:#ffffff;border-width:3px;border-style:solid;color:#373f41;background-color:#fbfcfd;padding-top:10px;padding-right:10px;padding-bottom:10px;padding-left:10px\">2 GB<\/td><\/tr><\/tbody><\/table><figcaption><em>Stata on Unix requires a graphics card that can display thousands of colors or more (16 &#8211; bit or 24-bit colors)<\/em>.<\/figcaption><\/div>\n\n\n\n<h4 class=\"wp-block-heading\"><br><\/h4>\n<\/div>\n\n\n\n<div class=\"wp-block-uagb-column uagb-column__wrap uagb-column__background-undefined uagb-block-d3946d68\"><div class=\"uagb-column__overlay\"><\/div><div class=\"sidebar-submenu wp-block-create-block-sidebar\"><div class=\"backend-only\">Internal links are generated on the front page only.<\/div><\/div>\n\n\n<section class=\"wp-block-uagb-section uagb-section__wrap uagb-section__background-undefined uagb-block-29f8ec56 custom-shadow\"><div class=\"uagb-section__overlay\"><\/div><div class=\"uagb-section__inner-wrap\">\t\t<div id=\"software-prices-block_8bc5d7def586741153e27d5ce90b51ed\" class=\"software-prices not-editable mb-5 card\">\n\t\t\t\t\t\t\t\t<div class=\"starting-from\">Starting from (excl tax)<\/div>\n\t\t\t<div class=\"section-title\">Prices<\/div>\n\t\t\t<div class=\"prices-lines\"><div class=\"price-line\"><div class=\"title\">Subscription<\/div><div class=\"price\">160 \u20ac \/ year<\/div><\/div><div class=\"price-line\"><div class=\"title\">Student subscription<\/div><div class=\"price\">51 \u20ac \/ year<\/div><\/div><\/div>\n\t\t\t\t<div class=\"button-wrapper text-center\">\n\t\t\t<div class=\"wp-block-button has-icon icon-euro\"><a href=\"#\" data-bs-toggle=\"modal\" data-bs-target=\"#loginModal\" data-redirect=\"https:\/\/ritme.com\/en\/wp-json\/wp\/v2\/software\/6592\/#software-products-form\" class=\"wp-block-button__link open-login-with-redirect\">Log in to see all 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href=\"https:\/\/ritme.com\/en\/trainings\/training-catalog\/?softwareid=6592\">View trainings<\/a>\n\t\t<\/div>\n\t<\/div>\n\t\n\n\n\n\n\n\t<div class=\"latest-article-wrapper mt-5\">\n\t\t<div class=\"post post-teaser custom-shadow mb-5\">\n\t<div class=\"post-inner card\">\n\t\t<a href=\"https:\/\/ritme.com\/en\/belgium-stata-conference-2025\/\" class=\"image\"><img loading=\"lazy\" decoding=\"async\" width=\"673\" height=\"476\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2025\/04\/img_mise-en-avant-Belgium-Stata-Conference-2025-1.png\" class=\"attachment-large size-large wp-post-image\" alt=\"\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2025\/04\/img_mise-en-avant-Belgium-Stata-Conference-2025-1.png 673w, https:\/\/ritme.com\/wp-content\/uploads\/2025\/04\/img_mise-en-avant-Belgium-Stata-Conference-2025-1-500x354.png 500w\" sizes=\"auto, (max-width: 673px) 100vw, 673px\" \/><\/a>\n\t\t<div class=\"content\">\n\t\t\t<div class=\"date\">12\/05\/2025<\/div>\n\t\t\t<div class=\"category\">\t\t<div class=\"ritme-tag\">\n\t\t\t<div class=\"tag-label \" style=\"border-color:#dd8a0d\">\n\t\t\t\t<div class=\"categories\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"category-name\">Events<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/div>\n\t\t\t<h2 class=\"title\"><a href=\"https:\/\/ritme.com\/en\/belgium-stata-conference-2025\/\">Belgium Stata Conference 2025<\/a><\/h2>\n\t\t\t<div class=\"teaser\"><p>As the official distributor of Stata, RITME organize the fourth Belgium STATA Conference 2025 in the premises of our academic partner, the Faculty of Economics and Business of KU Leuven.<\/p>\n<\/div>\n\t\t\t<div class=\"wp-block-button is-next more-link text-right\"><a href=\"https:\/\/ritme.com\/en\/belgium-stata-conference-2025\/\" class=\"wp-block-button__link\">Read more<\/a><\/div>\n\t\t\t<div class=\"more-link link-text text-right\"><a href=\"https:\/\/ritme.com\/en\/belgium-stata-conference-2025\/\">Read more<\/a><\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t<\/div>\n\t\n\n\t<div class=\"latest-article-wrapper mt-5\">\n\t\t<div class=\"post post-teaser custom-shadow mb-5\">\n\t<div class=\"post-inner card\">\n\t\t<a href=\"https:\/\/ritme.com\/en\/swiss-stata-conference-2025\/\" class=\"image\"><img loading=\"lazy\" decoding=\"async\" width=\"673\" height=\"476\" src=\"https:\/\/ritme.com\/wp-content\/uploads\/2025\/04\/img_mise-en-avant-Swiss-Stata-Conference-2025.png\" class=\"attachment-large size-large wp-post-image\" alt=\"Swiss Stata Conference 2025\" srcset=\"https:\/\/ritme.com\/wp-content\/uploads\/2025\/04\/img_mise-en-avant-Swiss-Stata-Conference-2025.png 673w, https:\/\/ritme.com\/wp-content\/uploads\/2025\/04\/img_mise-en-avant-Swiss-Stata-Conference-2025-500x354.png 500w\" sizes=\"auto, (max-width: 673px) 100vw, 673px\" \/><\/a>\n\t\t<div class=\"content\">\n\t\t\t<div class=\"date\"><\/div>\n\t\t\t<div class=\"category\">\t\t<div class=\"ritme-tag\">\n\t\t\t<div class=\"tag-label \" style=\"border-color:#dd8a0d\">\n\t\t\t\t<div class=\"categories\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"category-name\">Events<\/span>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/div>\n\t\t\t<h2 class=\"title\"><a href=\"https:\/\/ritme.com\/en\/swiss-stata-conference-2025\/\">Swiss Stata Conference 2025<\/a><\/h2>\n\t\t\t<div class=\"teaser\"><p>As the official distributor of Stata, RITME organize the Swiss Stata Conference that will take place in Switzerland on Friday, 21 November 2025, at the University of Bern.<\/p>\n<\/div>\n\t\t\t<div class=\"wp-block-button is-next more-link text-right\"><a href=\"https:\/\/ritme.com\/en\/swiss-stata-conference-2025\/\" class=\"wp-block-button__link\">Read more<\/a><\/div>\n\t\t\t<div class=\"more-link link-text text-right\"><a href=\"https:\/\/ritme.com\/en\/swiss-stata-conference-2025\/\">Read more<\/a><\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t<\/div>\n\t<\/div>\n<\/div><\/section>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Fast, accurate, and easy to use, Stata software is the reference for statistical data processing and data science analysis.<br \/>\nIt meets all your data science needs: data manipulation, visualization, statistics and automated reports.<\/p>\n","protected":false},"featured_media":45739,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"_uag_custom_page_level_css":"","footnotes":""},"software-category":[130],"class_list":["post-6592","software","type-software","status-publish","has-post-thumbnail","hentry","software-category-analyse-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Stata - Ritme<\/title>\n<meta name=\"description\" content=\"Stata 19 is the reference statistical software for the processing 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