Title | Macros for missing data (SAS). |
Publication Type | Software |
Year of Publication | 2014 |
Authors | Ibrahim, 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
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Original Publication | Macros for missing data (SAS). |
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