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SBdecomp (version 1.2)

Estimation of the Proportion of SB Explained by Confounders

Description

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 .

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Version

Install

install.packages('SBdecomp')

Monthly Downloads

194

Version

1.2

License

GPL

Maintainer

Layla Parast

Last Published

November 15th, 2021

Functions in SBdecomp (1.2)

bar.sbdecomp

Creates a Bar Plot
Kern.FUN

Calculates kernel matrix
petsdata

Dog ownership dataset
VTM

Repeats a row.
pred.smooth

Nonparametric conditional mean
SBdecomp-package

SBdecomp
sbdecomp

Selection Bias Decomposition