incontinence {glmfitmiss} | R Documentation |
incontinence- incontinence Data taken from brlrmr pacakge
Description
The dataset incontinence is from. The dataset is available in the brlrmr pacakge. Pradhan, Nychka and Bandyopadhyay (2024) fitted the model y~x1+x2+x3
.
Usage
incontinence
Format
A data frame with several rows and columns representing various variables:
- y
response variable
- x1
is a covariate
- x2
is a covariate
- x3
is a covariate
References
Maity, A., Pradhan, V., Das, U. (2019). Bias reduction in logistic regression with missing responses when the missing data mechanism is nonignorable. The American Statistician, (73) 340-349.
Pradhan, V., Nychka, D. and Bandyopadhyay, S. (2024). Beyond the Odds: Fitting Logistic Regression with Missing Data in Small Samples (submitted).
Examples
fit <- emil(y~x1+x2+x3, data=incontinence,family=binomial, method="brglmFit")
# display summary of the beta estimates of the model
summary(fit$fit_y)
# for non-ignorability setting of the missing responses
summary(fit$fit_r)
[Package glmfitmiss version 2.1.0 Index]