A semi-Markov multistate model for estimation of the mean quality-adjusted survival for non-progressive processes.
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.
Tunes-da-Silva
Gisela
G
Departamento de Estatística, Universidade de São Paulo, São Paulo, SP, Brazil. tunes@ime.usp.br
Pedroso-de-Lima
Antonio C
AC
Sen
Pranab K
PK
D001699:Biometry; D001938:Brazil; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D053208:Kaplan-Meier Estimate; D016013:Likelihood Functions; D008390:Markov Chains; D015233:Models, Statistical; D016016:Proportional Hazards Models; D011788:Quality of Life; D016019:Survival Analysis