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SBdecomp  

Estimation of the Proportion of SB Explained by Confounders
View on CRAN: Click here


Download and install SBdecomp package within the R console
Install from CRAN:
install.packages("SBdecomp")

Install from Github:
library("remotes")
install_github("cran/SBdecomp")

Install by package version:
library("remotes")
install_version("SBdecomp", "1.2")



Attach the package and use:
library("SBdecomp")
Maintained by
Layla Parast
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-12
Latest Update: 2021-11-15
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 .
How to cite:
Layla Parast (2020). SBdecomp: Estimation of the Proportion of SB Explained by Confounders. R package version 1.2, https://cran.r-project.org/web/packages/SBdecomp. Accessed 27 Jan. 2025.
Previous versions and publish date:
1.0 (2020-05-12 11:50), 1.1 (2020-11-25 09:30)
Other packages that cited SBdecomp R package
View SBdecomp citation profile
Other R packages that SBdecomp depends, imports, suggests or enhances
Complete documentation for SBdecomp
Functions, R codes and Examples using the SBdecomp R package
Some associated functions: Kern.FUN . SBdecomp-package . VTM . bar.sbdecomp . petsdata . pred.smooth . sbdecomp . 
Some associated R codes: SBdecomp.R .  Full SBdecomp package functions and examples
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