Regression-Based Principal Stratification
Ian updating as an example
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. Project is joint work by Ian Lundberg ([email protected]) and Soonhong Cho ([email protected]).
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.
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, [email protected]) and Soonhong Cho (UCLA, [email protected]).