SBdecomp: Estimation of the Proportion of SB Explained by Confounders (original) (raw)
Uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects. Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, 39(18): 2447- 2476 <doi:10.1002/sim.8549>.
| Version: | 1.2 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, twang, graphics, survey |
| Published: | 2021-11-15 |
| DOI: | 10.32614/CRAN.package.SBdecomp |
| Author: | Layla Parast |
| Maintainer: | Layla Parast |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | SBdecomp results |
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