Regression analysis of mean quality-adjusted survival time based on pseudo-observations

Autor(es)

Tunes-da-Silva, G. ^[1] ; Klein, J. P. ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Estat, Inst Matemat & Estat, BR-05508090 Sao Paulo - Brazil

^[2] Med Coll Wisconsin, Div Biostat, Milwaukee, WI - USA

• Tipo de documento: Artigo Científico
• Fonte: STATISTICS IN MEDICINE; v. 28, n. 7, p. 1054-1066, MAR 30 2009.
• Citações Web of Science: 2

Resumo

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. Copyright (C) 2009 John Wiley \& Sons, Ltd. (AU)

• Processo FAPESP: 07/02823-3 - Modelos de sobrevivência para processos complexos de progressão de doenças
• Beneficiário: Gisela Tunes da Silva
• Modalidade de apoio: Bolsas no Exterior - Novas Fronteiras