Regression analysis of mean quality-adjusted survival time based on pseudo-observations
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
20/10/2012
20/10/2012
2009
|
| 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. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo-FAPESP, Brazil[2007/02823-3] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) National Cancer Institute (NCI/NIH)[R01 CA54706-14] National Cancer Institute (NCI/NIH) |
| Identificador |
STATISTICS IN MEDICINE, v.28, n.7, p.1054-1066, 2009 0277-6715 http://producao.usp.br/handle/BDPI/30500 10.1002/sim.3529 |
| Idioma(s) |
eng |
| Publicador |
JOHN WILEY & SONS LTD |
| Relação |
Statistics in Medicine |
| Direitos |
closedAccess Copyright JOHN WILEY & SONS LTD |
| Palavras-Chave | #quality of life #survival analysis #multistate models #pseudo-observations #jackknife #regression model #BONE-MARROW-TRANSPLANTATION #MULTISTATE MODELS #LEUKEMIA #Mathematical & Computational Biology #Public, Environmental & Occupational Health #Medical Informatics #Medicine, Research & Experimental #Statistics & Probability |
| Tipo |
article original article publishedVersion |
