estimateEffect2: Estimate Effect after matching using the bootstrap

In cardiomoon/webrPSM: Propensity Score Matching for Web-R

Estimate Effect after matching using the bootstrap

Description

Estimate Effect after matching using the bootstrap

Usage

estimateEffect2(
  out,
  mode = "continuous",
  multiple = TRUE,
  dep,
  time = "",
  status = "",
  covarCentering = FALSE,
  withinSubclass = FALSE,
  seed = 1,
  digits = 2,
  sedigits = 2,
  pdigits = 4,
  se = TRUE,
  print = TRUE
)

Arguments

out	An object of class "matchit"
mode	One of c("continuous","binary","survival")
multiple	logical Whether or not perform multiple regression
dep	Name of dependent variable
time	Name of time variable
status	Name of status variable
covarCentering	logical
withinSubclass	logical
seed	numeric
digits	integer indicating the number of decimal places
sedigits	digits for standard error
pdigits	digits for p value
se	logical If true, report se. If false report confidence interval
print	logical

Examples

library(MatchIt)
library(survival)
out <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + X6 + X7 + X8 + X9, data = exData)
## Not run: 
estimateEffect2(out,dep="Y_C",multiple=FALSE)
estimateEffect2(out,mode="binary",dep="Y_B",multiple=FALSE)
estimateEffect2(out,mode="binary",dep="Y_B")
estimateEffect2(out,mode="survival",dep="Y_S",multiple=FALSE)
out <- matchit(A ~ X1 + X2 + X3 + X4 + X5 + X6 + X7 + X8 + X9, data = exData,
            link = 'linear.logit', caliper = .1, ratio = 3, replace = TRUE)
estimateEffect2(out,dep="Y_C",multiple=FALSE)
estimateEffect2(out,dep="Y_B",mode="binary",multiple=TRUE)
estimateEffect2(out,dep="Y_S",mode="survival",multiple=TRUE)

## End(Not run)

cardiomoon/webrPSM documentation built on Feb. 2, 2024, 3:55 a.m.