A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2009
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Resumo |
We discuss the estimation of the expected value of the quality-adjusted survival, based on multistate models. We generalize an earlier work, considering the sojourn times in health states are not identically distributed, for a given vector of covariates. Approaches based on semiparametric and parametric (exponential and Weibull distributions) methodologies are considered. A simulation study is conducted to evaluate the performance of the proposed estimator and the jackknife resampling method is used to estimate the variance of such estimator. An application to a real data set is also included. CAPES, Brazil Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) |
Identificador |
LIFETIME DATA ANALYSIS, v.15, n.2, p.216-240, 2009 1380-7870 http://producao.usp.br/handle/BDPI/30495 10.1007/s10985-008-9106-0 |
Idioma(s) |
eng |
Publicador |
SPRINGER |
Relação |
Lifetime Data Analysis |
Direitos |
restrictedAccess Copyright SPRINGER |
Palavras-Chave | #Quality of life #Survival analysis #Multistate models #Exponential distribution #Weibull distribution #Semiparametric proportional hazards #EFFICIENT ESTIMATION #CENSORED-DATA #OF-LIFE #REGRESSION #TIME #Mathematics, Interdisciplinary Applications #Statistics & Probability |
Tipo |
article original article publishedVersion |