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Research PEARL

At the invitation of Henry Zhao, one of the students at the Welch Center, I am here to present a research PEARL. Henry has been enrolled in both the Stata I & II classes I've taught this spring.

The Stata II class has focused on utilizing remote work directories on GitHub, emphasizing:

  • Version Control: Ensuring documents are iteratively improved in an organized manner.
  • Seamless Collaboration: Facilitating teamwork with both local members at Hopkins and remote collaborators from anywhere.
  • Open and Transparent Methods: Creating processes that are easy for others to emulate, critique, and improve.

I believe these reasons contributed to Henry inviting me to this research PEARL. So, without further ado (pun very much intended)...

global repo https://github.com/jhustata/project/raw/main/
do ${repo}welchcenter.do

Stata .do files

  • Staight out of Stata!!
  • Click here for other .do file sources
  • Download Stata_ReadInProgramAllSurveys.do
    • Edit filepath in the .do file
    • Review my edits here for guidance
    • Save edits as followup.do and upload to your username/project repo
    • Any edits should be saved under the same followup.do file name, but use "commit changes" statements for version control
  • This script followup.do produces mortality followup data
  • Merge these outcomes with NHANES survey (i.e., baseline data)

Stata .ado files

  • Long-term plan is to automate the above processes using .ado scripts with programs that allow the unskilled user to:
    • Reproduce the analyses
    • Expand the parameters in the model
    • Consider interaction terms
    • Variable functional forms (e.g. collapsed categories, spline terms, etc)