Welcome!
WARNING. This website documents an R package that is in development. Expect changes. We encourage you to try the package and email us with suggestions.1
This website documents the pstratreg package for R. The package helps study causal effects when some treatment values cause outcomes to be non-existent for some units.
Possible applications include
- a labor market intervention where the outcome is hourly wage, but some people are unemployed
- a medical intervention where the outcome is a health metric, but some people die before it is measured
- a sociological study where the outcome involves one’s spouse, but some people divorce or never marry and thus have no spouse
This package provides regression-based methods for principal stratification that rely on parametric models and are useful in settings where one hopes to adjust for many confounders.
Getting started
To get started, first install R and RStudio. Then install the package.
devtools::install_github("ilundberg/pstratreg")Now head on to the next page to see the types of questions this package can help answer.
This project is joint work between Ian Lundberg (Cornell, ilundberg@cornell.edu) and Soonhong Cho (UCLA, soonhongcho@g.ucla.edu).