Framework and optimisation procedure for flexible parametric survival models
نویسندگان
چکیده
منابع مشابه
Further Development of Flexible Parametric Models for Survival Analysis
Royston and Parmar (2002) developed a class of flexible parametric survival models that were programmed in Stata with the command stpm (Royston 2001). In this paper we introduce a new command, stpm2, that extends the methodology. New features of stpm2 include (i) improvement in the way timedependent covariates are modeled, with these effects far less likely to be over parameterized, (ii) the ab...
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Section 1 demonstrates the connection between the Brier Score in the absence of censoring versus the inverse probability-of-censoring weighted Brier Score. Section 2 derives the meansquared error decomposition presented in Section 3 of the main paper, and presents illustrations and examples regarding the impact of candidate survival models on performance. In addition, a simple example illustrat...
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For estimating conditional survival functions, non-parametric estimators can be preferred to parametric and semi-parametric estimators due to relaxed assumptions that enable robust estimation. Yet, even when misspecified, parametric and semi-parametric estimators can possess better operating characteristics in small sample sizes due to smaller variance than non-parametric estimators. Fundamenta...
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BACKGROUND When the mortality among a cancer patient group returns to the same level as in the general population, that is, the patients no longer experience excess mortality, the patients still alive are considered "statistically cured". Cure models can be used to estimate the cure proportion as well as the survival function of the "uncured". One limitation of parametric cure models is that th...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2015
ISSN: 0277-6715
DOI: 10.1002/sim.6489