Stata ERMHome Training Catalog Stata ERM Analysis Data Science Theoretical and applied statistics On-site courses Remote/Virtual Face-to-face English French Objectives Learn to account for different sources of endogeneity in a regression model Prerequisite: Good knowledge of the Stata software, robust knowledge in regression methods Educational and technical material and resources: Lectures followed by practical exercises with real-life situations Educational materials and applications in digital format provided Possibility for trainees to work on their data Assessment: Assesment questionnaire and/or test before the training course Evaluation questionnaire Expected results & skills at the end of the training: Be able to identify the sources of endogeneity, the consequences they may have, and the methods for dealing with the different forms considered in a single model Program 3.5 hour module The different sources of endogeneity and the consequences for the properties of estimators Estimation methods Synthetic ordering that allows for these different sources to be considered in a single model Practical exercise Download the full program Duration 3 hours Level Advanced Audience Researchers wishing to master the treatment of endogeneity issues in a regression model. Participants 8 people maximum Please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Scientific Monitoring Objectives Describe the general working principle of Deep Learning and Generative Artificial Intelligence. Use advanced prompting techniques to meet business needs. Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions. Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields. Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model. Translate articles. 17 and 21 March Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner) Objectives Discover the fundamentals of R and generative AI tools. Learn the basics of descriptive statistical analysis and apply them to real-world datasets. Learn how to automate common tasks in R using generative AI. Master the creation of simple visualizations and data presentation. Get introduced to the concepts of simple regressions and hypothesis testing. Generate workflows and automated reports with R Markdown. 31 March01, 02 and 03 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Scientific Communication and Popularization Objectives Understand the fundamentals of Generative AI and its applications in communication Use AI in communication strategy: defining target audiences, structuring messages, choosing formats… 01 and 02 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Prompt Engineering Objectives Describe how a Generative AI (GenAI) works in order to optimize its use in daily tasks Apply prompt engineering methods to use GenAI tools effectively Identify use cases within your professional environment 04 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Image Analysis Objectives Acquisition of the basics in image analysis Mastery of tools and techniques for AI-assisted analysis Hands-on practice and development of image pipelines using Generative AI 08 and 15 April Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Integrating Artificial Intelligence into your scientific teams Objectives Understand Generative AI, its functioning, and its limitations Explore the applications of Generative AI and use cases for scientists Define a plan for integrating Generative AI into your team/laboratory and prioritize the first actions 13 May Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative AI for Qualitative Analysis Objectives Understand the fundamentals of generative AI and its applications. Master AI-assisted qualitative analysis techniques. Use AI for analyzing and presenting qualitative data. 02 and 03 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Enhance your statistical analyses with R and Generative AI (Advanced) Objectives • Deepen your mastery of R to perform advanced statistical analyses.• Discover and leverage generative AI tools to automate common tasks in data analysis.• Optimize analytical processes by integrating automated workflows.• Structure complex workflows effectively and innovatively.• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases. 09, 10, 12 and 13 June Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Generative Artificial Intelligence for Research Education Objectives Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools. Use advanced prompting techniques to meet business needs. Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case. Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning. Design exams and quizzes based on the training content developed for students, saving time in course preparation. Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.). Adapt your teaching and prepare your students for the Generative AI revolution. 26 June03 July Register Ask for a quote Previous Next
