Combine mimids and wimids Objects by Columns
This function combines a mimids or wimids object columnwise with additional datasets or variables. Typically these would be variables not included in the original imputation and therefore absent in the mimids or wimids object. with() can then be used on the output to run models with the added variables.
cbind(..., deparse.level = 1) ## S3 method for class 'mimids' cbind(..., deparse.level = 1) ## S3 method for class 'wimids' cbind(..., deparse.level = 1)
... |
Objects to combine columnwise. The first should be a |
deparse.level |
Ignored. |
An object with the same class as the first input object with the additional variables added to the components.
Farhad Pishgar and Noah Greifer
#Loading libraries
library(MatchThem)
library(survey)
#Loading the dataset
data(osteoarthritis)
#Multiply imputing the missing values
imputed.datasets <- mice::mice(osteoarthritis, m = 5)
#Weighting the multiply imputed datasets
weighted.datasets <- weightthem(OSP ~ AGE + SEX + BMI + RAC + SMK, imputed.datasets,
approach = 'within')
#Adding additional variables
weighted.datasets <- cbind(weighted.datasets,
logAGE = log(osteoarthritis$AGE))
#Using the additional variables in an analysis
models <- with(weighted.datasets,
svyglm(KOA ~ OSP + logAGE, family = quasibinomial))
#Pooling results obtained from analyzing the datasets
results <- pool(models)
summary(results)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.