matchitmice.data: Outputs Matched Imputed Datasets
In FarhadPishgar/MatchIt.mice: Matching Multiply Imputed Datasets

Description Usage Arguments Details Value Author(s) References See Also Examples

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

1	matchitmice.data(object, n = 1)

`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`.

The matched datasets wihtin the mimids class object are extracted.

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

Farhad Pishgar

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

mimids

#Loading the dataset
data(dataset)

#Multiply imputing the missing values
imputed.datasets <- mice(dataset, m = 5, maxit = 10,
                         method = c("", "", "", "mean", "polyreg", "logreg", "logreg", "logreg"))

#Matching the multiply imputed datasets
matched.datasets <- matchitmice(OSP ~ AGE + SEX + BMI + RAC + SMK, imputed.datasets,
                                approach = 'within', method = 'nearest')

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