While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part...
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This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression...
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This workshop will cover both the use of descriptive and inferential statistics with complex survey data in SAS.  We will also discuss regression commands, the analysis of subpopulations, and some...
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R is a powerful programming language specifically designed for statistical analysis. In this workshop, we will explore some of the tools and packages available in R to craft visually appealing...
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Choosing which covariates to control for in regression models is a well-known challenge, and clear guidance on this issue is often lacking. Causal diagrams, specifically directed acyclic graphs (DAGs), offer...
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