Estimation of the mean quality-adjusted survival using a multistate model for the sojourn times
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2008
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Resumo |
In clinical trials, it may be of interest taking into account physical and emotional well-being in addition to survival when comparing treatments. Quality-adjusted survival time has the advantage of incorporating information about both survival time and quality-of-life. In this paper, we discuss the estimation of the expected value of the quality-adjusted survival, based on multistate models for the sojourn times in health states. Semiparametric and parametric (with exponential distribution) approaches are considered. A simulation study is presented to evaluate the performance of the proposed estimator and the jackknife resampling method is used to compute bias and variance of the estimator. (C) 2007 Elsevier B.V. All rights reserved. |
Identificador |
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.138, n.8, p.2267-2282, 2008 0378-3758 http://producao.usp.br/handle/BDPI/30528 10.1016/j.jspi.2007.10.010 |
Idioma(s) |
eng |
Publicador |
ELSEVIER SCIENCE BV |
Relação |
Journal of Statistical Planning and Inference |
Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
Palavras-Chave | #quality-of-life #survival analysis #multistate models #exponential distribution #semiparametric proportional hazards #LOCALLY EFFICIENT ESTIMATION #RIGHT-CENSORED DATA #Statistics & Probability |
Tipo |
article original article publishedVersion |