idasomm/genRCT: Generalizing the average treatment effect (ATE) from the trial using observational studies (OS)
Provides estimation and inference for the average treatment effect (ATE), generalizing from a randomized controlled trial (RCT) to a target population leveraging observational studies. The method of sieves can be used for the estimation of sampling score and outcome models. The ATE can be estimated with up to 6 methods among the following: Naive, IPSW, AIPSW, CW, ACW-t, ACW-b.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Dasom Lee |
| Maintainer | Dasom Lee <dlee31@ncsu.edu> |
| License | What license is it under? |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
