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Get an introduction to panel data in the first hour of Stephen Vaisey's "Longitudinal Data Analysis Using R" seminar. This session lays the groundwork for understanding how longitudinal data can reveal changes over time.
About this Seminar
This course explores key methods for analyzing longitudinal panel data, including mixed models (e.g., latent growth curves), two-period difference-in-differences, fixed-effects models, between-within models, and dynamic panel models. You'll learn about the advantages and disadvantages of these methods, when to use each, and how to implement them in R. By the end, you'll have the tools to model the evolution of outcomes over time and make robust causal inferences.
Learn more and register: [ Ссылка ]
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#LongitudinalData #PanelData #RStats #RProgramming #CausalInference #StatisticalHorizons
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