ibrahim {glmfitmiss} | R Documentation |
ibrahim data – Ibrahim (1990) JASA
Description
The dataset ibrahim is from Ibrahim, IG (1990, 85, 765–769, JASA). The data contains a response variable y and predictors x1 x2 x3, and the total number of observations is 82.
Usage
ibrahim
Format
An object of class tbl_df
(inherits from tbl
, data.frame
) with 82 rows and 4 columns.
References
Cytel Inc (2010). LogXact 9 User Manual: Discrete Regression Analysis. Cambridge, Massachusetts: Cytel Inc.
Ibrahim, J. G. (1990). Incomplete data in generalized linear models. Journal of the American Statistical Association 85, 765–769.
Maiti, T., Pradhan, V. (2009). Bias reduction and a solution of separation of logistic regression with missing covariates. Biometrics, 65, 1262-1269.
Pradhan, V., Nychka, D. and Bandyopadhyay, S. (2025). Beyond the Odds: Fitting Logistic Regression with Missing Data in Small Samples (submitted).
Examples
data(ibrahim)
f_fit <- emBinRegMAR(y ~ x1+x2+x3, data=ibrahim, family="binomial", biascorrectn=FALSE)
f_fit$beta
#Firth type bias correction
f_fit <- emBinRegMAR(y ~ x1+x2+x3, data=ibrahim, family="binomial", biascorrectn=TRUE)
f_fit$beta