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

dc.creatorTUNES-DA-SILVA, G.
dc.creatorKLEIN, J. P.
dc.date.accessioned2012-10-20T04:44:38Z
dc.date.accessioned2018-07-04T15:46:18Z
dc.date.available2012-10-20T04:44:38Z
dc.date.available2018-07-04T15:46:18Z
dc.date.created2012-10-20T04:44:38Z
dc.date.issued2009
dc.identifierSTATISTICS IN MEDICINE, v.28, n.7, p.1054-1066, 2009
dc.identifier0277-6715
dc.identifierhttp://producao.usp.br/handle/BDPI/30500
dc.identifier10.1002/sim.3529
dc.identifierhttp://dx.doi.org/10.1002/sim.3529
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627139
dc.description.abstractRegression 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.
dc.languageeng
dc.publisherJOHN WILEY & SONS LTD
dc.relationStatistics in Medicine
dc.rightsCopyright JOHN WILEY & SONS LTD
dc.rightsclosedAccess
dc.subjectquality of life
dc.subjectsurvival analysis
dc.subjectmultistate models
dc.subjectpseudo-observations
dc.subjectjackknife
dc.subjectregression model
dc.titleRegression analysis of mean quality-adjusted survival time based on pseudo-observations
dc.typeArtículos de revistas


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