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

Tunes-da-Silva, G.; Klein, J. P.

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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):	Tunes-da-Silva, G. ^[1] ; Klein, J. P. ^[2] Total Authors: 2
Affiliation:	^[1] Univ Sao Paulo, Dept Estat, Inst Matemat & Estat, BR-05508090 Sao Paulo - Brazil ^[2] Med Coll Wisconsin, Div Biostat, Milwaukee, WI - USA Total Affiliations: 2
Document type:	Journal article
Source:	STATISTICS IN MEDICINE; v. 28, n. 7, p. 1054-1066, MAR 30 2009.
Web of Science Citations:	2
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. Copyright (C) 2009 John Wiley \& Sons, Ltd. (AU)

FAPESP's process:	07/02823-3 - Survival models for analysis of complex disease processes
Grantee:	Gisela Tunes da Silva
Support Opportunities:	Scholarships abroad - New Frontiers

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