matchitmice.data: Outputs Matched Imputed Datasets

In MatchIt.mice: Matching Multiply Imputed Datasets

Description

The matchitmice.data() function extracts matching data from an object of the mimids class.

Usage

matchitmice.data(object, n = 1)

Arguments

object	This argument specifies an object of the mimids class.
n	This argument specifies the matched imputed dataset number, intended to extract its matching data. The input must be a positive integer. The default is 1.

Details

The matched datasets wihtin the mimids class object are extracted.

Value

This function returns a subset of the imputed dataset after matching with just the matched observations from treatment and control groups.

Author(s)

Farhad Pishgar

References

Daniel Ho, Kosuke Imai, Gary King, and Elizabeth Stuart (2007). Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference. Political Analysis, 15(3): 199-236. http://gking.harvard.edu/files/abs/matchp-abs.shtml

See Also

mimids

Examples

#Loading the 'dt.osa' dataset
data(dt.osa)

#Imputing missing data points in the'dt.osa' dataset
datasets <- mice(dt.osa, m = 5, maxit = 1,
                 method = c("", "", "mean", "", "polyreg", "logreg", "logreg"))

#Matching the imputed datasets, 'datasets'
matcheddatasets <- matchitmice(KOA ~ SEX + AGE + SMK, datasets,
                               approach = 'within', method = 'exact')

#Extracting data of the first imputed dataset
data.1 <- matchitmice.data(matcheddatasets, n = 1)

MatchIt.mice documentation built on Aug. 28, 2019, 1:03 a.m.