CRAN/E | SBdecomp

SBdecomp

Estimation of the Proportion of SB Explained by Confounders

Installation

About

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.

Key Metrics

Version 1.2
R ≥ 3.5.0
Published 2021-11-15 945 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks SBdecomp results

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Maintainer

Maintainer

Layla Parast

Authors

Layla Parast

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SBdecomp archive

Depends

R ≥ 3.5.0

Imports

stats
twang
graphics
survey