Log-normal frailty models fitted as Poisson generalized linear mixed models
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- 作者：Katharina Hirscha ; katharina.hirsch@medizin.uni-halle.de" class="auth_mail" title="E-mail the corresponding author ; Andreas Wienkea ; Oliver Kussb
- 关键词：Poisson ; GLMM ; Survival ; Frailty ; Piecewise constant baseline hazard ; SAS
- 刊名：Computer Methods and Programs in Biomedicine
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：137
- 期：Complete
- 页码：167-175
- 全文大小：509 K
文摘
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Use a Poisson generalized linear mixed model to fit a frailty model to clustered survival data.
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Fix the number of pieces (baseline hazard) and explode the dataset based on the chosen pieces.
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Realization via %PCFrailty macro in SAS.
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Rule of thumb: take at least 10 events per piece.
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Approach allows more flexibility in frailty modelling.