Macros for missing data (SAS).

TitleMacros for missing data (SAS).
Publication TypeSoftware
Year of Publication2014
AuthorsIbrahim, Joseph G., and Stuart Lipsitz
Abstract

SAS macros for solving missing covariate data problems for several types of models:
mlogit.mac =logistic regression, main effects model for covariates;
emlog_sat.mac=logistic regression, saturated model for covariates;
empwexp.mac = piecewise exponential, main effects model for covariates;
empwexp_sat.mac = piecewise exponential, saturated model for covariates;
emexp.mac = exponential, main effects model for covariates ;
coxignore.mac = Cox model, ignorably missing covariates;
coxnonig.mac = Cox model, nonignorably missing covariates

Original PublicationMacros for missing data (SAS).
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