Modeling continuous longitudinal data using Generalized Estimating Equations (GEE) in Stata

The purpose of this video is to demonstrate how to carry out an analysis of panel data (i.e., a cross-section of cases with repeated observations) using generalized estimating equations (GEE) in Stata. The example pivots off an article by Cui (2007), which can be accessed here: https://journals.sagepub.com/doi/10.1177/1536867X0700700205 https://journals.sagepub.com/doi/pdf/10.1177/1536867X0700700205 Although I give an example of how to obtain a copy of the dataset in the video, you can also obtain a copy here: https://drive.google.com/file/d/1uEzXHgndUaCZrhIU5Y7-_ALPM35js08B/view You will still need to install the qic package to use its functions, however. Files containing commands in video: Do-file: https://drive.google.com/file/d/1VQyy9EeCa6ibtiNRfWLl1foNiOozqBYC/view Text file: https://drive.google.com/file/d/1GxIoyB7TvHksGRltA6eZ6nSzjjHNmuoF/view I have an RMarkdown document I created for a presentation on running GEE using RStudio that contains additional details you might find useful regarding GEE. You can access that document here: https://drive.google.com/file/d/1blZ9ywl93MBEwcreAeS_XyJavn6wl0Ib/view Video demo using RStudio: https://youtu.be/0TbfIDSDlfE