incontinence: incontinence- incontinence Data taken from brlrmr pacakge

In glmfitmiss: Fitting GLMs with Missing Data in Both Responses and Covariates

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)

glmfitmiss documentation built on June 8, 2025, 1:59 p.m.