Estimation of the Proportion of SB Explained by Confounders

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 .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SBdecomp")

1.1 by Layla Parast, 6 months ago


Browse source code at https://github.com/cran/SBdecomp


Authors: Layla Parast


Documentation:   PDF Manual  


GPL license


Imports stats, twang, graphics, survey


See at CRAN