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A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes

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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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Authors and Affiliations

  1. Departamento de Estatística, Universidade de São Paulo, Rua do Matão, 1010, CEP 05508-090, São Paulo, SP, Brazil

    Gisela Tunes-da-Silva & Antonio C. Pedroso-de-Lima

  2. The University of North Carolina at Chapel Hill, Biostatistics, CB #7420, Chapel Hill, NC, 27599, USA

    Pranab K. Sen

Authors
  1. Gisela Tunes-da-Silva
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  2. Antonio C. Pedroso-de-Lima
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  3. Pranab K. Sen
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Correspondence to Antonio C. Pedroso-de-Lima.

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Tunes-da-Silva, G., Pedroso-de-Lima, A.C. & Sen, P.K. A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes. Lifetime Data Anal 15, 216–240 (2009). https://doi.org/10.1007/s10985-008-9106-0

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  • DOI: https://doi.org/10.1007/s10985-008-9106-0

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