SBdecomp-package: Estimation of the Proportion of SB Explained by Confounders

In laylaparast/SBdecomp: 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 <doi: 10.1002/sim.8549>.

Details

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This packge provides a function that decomposes the estimated selection bias to quantify what proportion of the estimated selection bias is explained by each observed confounder used in the propensity score model; the function is sbdecomp. The function offers two approaches - confounder inclusion or removal, and offers two estimation approaches - parametric or nonparametric. These methods allow one to identify the most important confounder when estimating a propensity score weighted treatment effect in the presence of selection bias.

Author(s)

Layla Parast

Maintainer: Layla Parast <[e-mail]>

References

Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates." Statistics in Medicine, In press.

Examples

data(petsdata)
sbdecomp(outcome = petsdata$genhealth, treatment = petsdata$gotdog, confounders = 
as.data.frame(petsdata[,c(2:13)]), type = "inclusion", estimation = "parametric")

sbdecomp(outcome = petsdata$genhealth, treatment = petsdata$gotdog, confounders = 
as.data.frame(petsdata[,c(2:13)]), type = "inclusion", estimation = "parametric", 
Bonly =FALSE, balance = TRUE) 

sbdecomp(outcome = "genhealth", treatment = "gotdog", confounders = c("age",
"ismale", "race_coll","hhsize","ownhome", "married",  "ontanf", "hhincome",
"fulltime","spouse_fulltime" ,"liveinhouse", "ruralurban"), data = petsdata, 
type = "inclusion", estimation = "parametric", Bonly =FALSE, balance = TRUE)

laylaparast/SBdecomp documentation built on Nov. 20, 2021, 7:41 a.m.