title: Regression analysis of mean quality-adjusted survival time based on pseudo-observations.
abstract: Regression models for the mean quality-adjusted survival time are specified from hazard functions of transitions between two states and the mean quality-adjusted survival time may be a complex function of covariates. We discuss a regression model for the mean quality-adjusted survival (QAS) time based on pseudo-observations, which has the advantage of directly modeling the effect of covariates in the QAS time. Both Monte Carlo simulations and a real data set are studied.
authors.affiliation: Departamento de Estatística do Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil. tunes@ime.usp.br
authors.forename: G
authors.initials: G
authors.lastname: Tunes-da-Silva
authors.forename: J P
authors.initials: JP
authors.lastname: Klein
mesh_terms: D000293:Adolescent; D000328:Adult; D006801:Humans; D015233:Models, Statistical; D019370:Observation; D019057:Quality-Adjusted Life Years; D012044:Regression Analysis; D016019:Survival Analysis; D055815:Young Adult