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Tenko Raykov and George A. Marcoulides [2018]

A Course in Item Response Theory and Modeling with Stata

Item response theory (IRT) is used to evaluate the relationship between a latent trait, such as mathematical ability, quality of life, or patient satisfaction, and the test questions or items intended to measure that trait. IRT is especially useful when developing new instruments, when analyzing and scoring data collected from these instruments, and when comparing instruments that measure the same trait.

Alan C. Acock [2018]

A Gentle Introduction to Stata, Six Edition

Alan C. Acock's A Gentle Introduction to Stata, Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata.

/ 63 € (eBook)
Michael N. Mitchell [2012]

A Visual Guide to Stata Graphics, Third Edition

In its third edition, Michael Mitchell’s A Visual Guide to Stata Graphics remains the essential introduction and reference for Stata graphics. The third edition retains all the features that made the first two editions so useful:
- A complete guide to Stata’s graph command and Graph Editor
- Exhaustive examples of customized graphs using both command options and the Graph Editor
- Visual indexing of features—just look for a picture that matches what you want to do

/ 68 € (eBook)
Christopher F. Baum [2006]

An Introduction to Modern Econometrics Using Stata

An Introduction to Modern Econometrics Using Stata, by Christopher F. Baum, successfully bridges the gap between learning econometrics and learning how to use Stata. The book presents a contemporary approach to econometrics, emphasizing the role of method-of-moments estimators, hypothesis testing, and specification analysis while providing practical examples showing how the theory is applied to real datasets by using Stata.

/ 58 € (eBook)
Svend Juul and Morten Frydenberg [2014]

An Introduction to Stata for Health Researchers, Fourth Edition

Svend Juul and Morten Frydenberg’s An Introduction to Stata for Health Researchers, Fourth Edition is distinguished in its careful attention to detail. The reader will learn not only the skills for statistical analysis but also the skills to make the analysis reproducible. The authors use a friendly, down-to-earth tone and include tips gained from a lifetime of collaboration and consulting.

/ 56 € (eBook)
Christopher F. Baum [2016]

An Introduction to Stata Programming, Second Edition

Christopher F. Baum's An Introduction to Stata Programming, Second Edition, is a great reference for anyone who wants to learn Stata programming.

Baum assumes readers have some familiarity with Stata, but readers who are new to programming will find the book accessible. He begins by introducing programming concepts and basic tools. More advanced programming tools such as structures and pointers and likelihood-function evaluators using Mata are gradually introduced throughout the book alongside examples.

/ 63 € (eBook)
Mario Cleves, William W. Gould, and Yulia V. Marchenko [2016]

An Introduction to Survival Analysis Using Stata, Revised Third Edition

An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to learn survival analysis for the first time or who are well versed in survival analysis but are not as dexterous in using Stata to analyze survival data. This text also serves as a valuable reference to those readers who already have experience using Stata’s survival analysis routines.

/ 64 € (eBook)
John Thompson [2014]

Bayesian Analysis with Stata

Bayesian Analysis with Stata is a compendium of Stata user-written commands for Bayesian analysis. It contains just enough theoretical and foundational material to be useful to all levels of users interested in Bayesian statistics, from neophytes to aficionados.

Ulrich Kohler and Frauke Kreuter [2012]

Data Analysis Using Stata, Third Edition

Data Analysis Using Stata, Third Edition has been completely revamped to reflect the capabilities of Stata 12. This book will appeal to those just learning statistics and Stata, as well as to the many users who are switching to Stata from other packages. Throughout the book, Kohler and Kreuter show examples using data from the German Socio-Economic Panel, a large survey of households containing demographic, income, employment, and other key information.

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