A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes |
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Authors: | Gisela Tunes-da-Silva Antonio C. Pedroso-de-Lima Pranab K. Sen |
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Affiliation: | 1. Departamento de Estatística, Universidade de S?o Paulo, Rua do Mat?o, 1010, CEP 05508-090, S?o Paulo, SP, Brazil 2. The University of North Carolina at Chapel Hill, Biostatistics, CB #7420, Chapel Hill, NC, 27599, USA
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Abstract: | 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. |
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Keywords: | Quality of life Survival analysis Multistate models Exponential distribution Weibull distribution Semiparametric proportional hazards |
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