For our main results, we should develop a two-panel figure.
Panel 1. tests for heterogeneity using RATE for each study
Panel 2. Forest plot showing BLP estimates for specific covariates.
RATE = rank weighted average treatment effect
BLP = best linear projection
A PR to resolve this issue would include code in manuscript/manuscript.Rmd to read in the shareable files containing RATE and BLP values, then visualize with ggplot2.
If future updates are needed, we'd need all data stewards to pull down up-to-date code and re-make their pipeline, then submit a PR with their shareable files.
For our main results, we should develop a two-panel figure.
Panel 1. tests for heterogeneity using RATE for each study Panel 2. Forest plot showing BLP estimates for specific covariates.
RATE = rank weighted average treatment effect BLP = best linear projection
A PR to resolve this issue would include code in
manuscript/manuscript.Rmdto read in the shareable files containing RATE and BLP values, then visualize withggplot2.If future updates are needed, we'd need all data stewards to pull down up-to-date code and re-make their pipeline, then submit a PR with their shareable files.