Statistical models for recurrent events and death: Application to cancer events

In many biomedical studies, subjects may experience the outcome of interest more than once over a period of observation; outcomes of this sort have been termed recurrent events. A model that is becoming increasingly popular for modeling association between recurrent survival times is the use of a fr...

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Published in:	Mathematical and computer modelling Vol. 52; no. 7; pp. 949 - 955
Main Author:	Rondeau, V.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Kidlington Elsevier Ltd 01.10.2010 Elsevier
Subjects:	Correlated survival times Cure frailty model Exact sciences and technology Frailty models Joint frailty model Mathematical analysis Mathematics Methods of scientific computing (including symbolic computation, algebraic computation) Nested frailty model Numerical analysis. Scientific computation Penalized likelihood Sciences and techniques of general use Cure frailty model Nested frailty model Penalized likelihood Frailty models Correlated survival times Joint frailty model Parameter estimation Applied mathematics Mathematical model Penalty method Computer aided analysis
ISSN:	0895-7177, 1872-9479
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Abstract	In many biomedical studies, subjects may experience the outcome of interest more than once over a period of observation; outcomes of this sort have been termed recurrent events. A model that is becoming increasingly popular for modeling association between recurrent survival times is the use of a frailty model. In recent years a number of papers appeared, extending the survival models to models that are suitable to handle more complex survival data as recurrent events. We present here frailty model extensions to analyze recurrent events data: cure frailty models for a mixture of susceptible and insusceptible subjects for the event of interest; nested frailty models when data are clustered at several hierarchical levels and joint frailty models for the joint analysis of recurrent events and death. We performed a semi-parametric penalized likelihood approach to estimate the different parameters. Those different models can be fitted using the R package “frailtypack”.
AbstractList	In many biomedical studies, subjects may experience the outcome of interest more than once over a period of observation; outcomes of this sort have been termed recurrent events. A model that is becoming increasingly popular for modeling association between recurrent survival times is the use of a frailty model. In recent years a number of papers appeared, extending the survival models to models that are suitable to handle more complex survival data as recurrent events. We present here frailty model extensions to analyze recurrent events data: cure frailty models for a mixture of susceptible and insusceptible subjects for the event of interest; nested frailty models when data are clustered at several hierarchical levels and joint frailty models for the joint analysis of recurrent events and death. We performed a semi-parametric penalized likelihood approach to estimate the different parameters. Those different models can be fitted using the R package “frailtypack”.
Author	Rondeau, V.
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Cites_doi	10.1023/A:1022978802021 10.1137/0909024 10.1002/sim.2510 10.1002/cncr.10451 10.1093/biostatistics/kxl043 10.1182/blood-2003-12-4434 10.1007/BF00985760 10.1137/0111030 10.1111/j.0006-341X.2000.00227.x 10.1002/sim.687 10.2307/2061224 10.1214/ss/1177012761 10.2307/2534006 10.1002/sim.4780141305 10.1111/j.2517-6161.1972.tb00899.x 10.1111/j.0006-341X.2004.00225.x 10.1016/j.cmpb.2005.06.010
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Keywords	Cure frailty model Nested frailty model Penalized likelihood Frailty models Correlated survival times Joint frailty model Parameter estimation Applied mathematics Mathematical model Penalty method Computer aided analysis
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SubjectTerms	Correlated survival times Cure frailty model Exact sciences and technology Frailty models Joint frailty model Mathematical analysis Mathematics Methods of scientific computing (including symbolic computation, algebraic computation) Nested frailty model Numerical analysis. Scientific computation Penalized likelihood Sciences and techniques of general use
Title	Statistical models for recurrent events and death: Application to cancer events
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