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Health economic evaluations often require predictions of survival ratesbeyond the follow-up period. Parametric survival models can be more convenientfor economic modelling than the Cox model. The generalized gamma (GG) andgeneralized F (GF) distributions are extensive families that contain almost allcommonly used distributions with various hazard shapes and arbitrarycomplexity. In this study, we present a new SAS macro for implementing a widevariety of flexible parametric models including the GG and GF distributions andtheir special cases, as well as the Gompertz distribution. Proper customdistributions are also supported. Different from existing SAS procedures, thismacro not only supports regression on the location parameter but also onancillary parameters, which greatly increases model flexibility. In addition,the SAS macro supports weighted regression, stratified regression and robustinference. This study demonstrates with several examples how the SAS macro canbe used for flexible survival modeling and extrapolation.

Parmsurv: a SAS Macro for Flexible Parametric Survival Analysis with Long-Term Predictions