Institut de Santé Publique,
d'Épidémiologie et de Développement
Centre Inserm U897
A SAS macro for survival models with a cured fraction (Mixture Cure Models).
Macro SAS pour l'estimation de modèles de survie de mélange avec une fraction non à risque (Mixture Cure Models).
The SAS macro PSPMCM consists in estimating
models for failure time data with a cured fraction. Such data may arise from
clinical trials, in which, even after an extended follow-up, no further
events of interest are observed. For such data there is also a time window
within which almost all the events occur. Typically the Kaplan-Meier
estimate of the survival function for time to event levels off to nonzero
proportions with a heavy censoring at the tail after a sufficient monitoring
length. For such data, standard survival models are usually not appropriate
because they do not account for the possibility of cure. Mixture cure models
assume that the studied population is a mixture of susceptible (uncured)
individuals, that may undergo the event of interest, and non-susceptible (cured)
individuals, that will never undergo it. This approach allows estimating
simultaneously whether the event of interest will occur, which is called
incidence, and when it will occur, given that it can occur, which is called
latency. Depending on the parametric and semiparametric specification of the
survival function for uncured individuals, various mixture cure models have
The compacted file PSPMCM.zip is downloadable and contains the following files:
Corbière F, Joly P.
We are interested in feed-back but can not guarantee support.
This program is free software; you can
redistribute it and/or modify it under the terms of the GNU General Public
License as published by the Free Software Foundation; either version 2 of
the License, or (at your option) any later version.
|Downloading: PSPMCM (MS Windows version)|