Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model
dc.contributor.author | Jacqmin-Gadda, Hélène | en_US |
dc.contributor.author | Proust-Lima, Cécile | en_US |
dc.contributor.author | Taylor, Jeremy M. G. | en_US |
dc.contributor.author | Commenges, Daniel | en_US |
dc.date.accessioned | 2011-01-31T17:38:06Z | |
dc.date.available | 2011-05-04T18:52:58Z | en_US |
dc.date.issued | 2010-03 | en_US |
dc.identifier.citation | Jacqmin-Gadda, Hélène; Proust-Lima, Cécile; Taylor, Jeremy M.G.; Commenges, Daniel; (2010). "Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model." Biometrics 66(1): 11-19. <http://hdl.handle.net/2027.42/79185> | en_US |
dc.identifier.issn | 0006-341X | en_US |
dc.identifier.issn | 1541-0420 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/79185 | |
dc.description.abstract | Latent class models have been recently developed for the joint analysis of a longitudinal quantitative outcome and a time to event. These models assume that the population is divided in G latent classes characterized by different risk functions for the event, and different profiles of evolution for the markers that are described by a mixed model for each class. However, the key assumption of conditional independence between the marker and the event given the latent classes is difficult to evaluate because the latent classes are not observed. Using a joint model with latent classes and shared random effects, we propose a score test for the null hypothesis of independence between the marker and the outcome given the latent classes versus the alternative hypothesis that the risk of event depends on one or several random effects from the mixed model in addition to the latent classes. A simulation study was performed to compare the behavior of the score test to other previously proposed tests, including situations where the alternative hypothesis or the baseline risk function are misspecified. In all the investigated situations, the score test was the most powerful. The methodology was applied to develop a prognostic model for recurrence of prostate cancer given the evolution of prostate-specific antigen in a cohort of patients treated by radiation therapy. | en_US |
dc.format.extent | 204962 bytes | |
dc.format.extent | 3106 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Inc | en_US |
dc.subject.other | Joint Model | en_US |
dc.subject.other | Latent Class Model | en_US |
dc.subject.other | Mixture Model | en_US |
dc.subject.other | Model Diagnosis | en_US |
dc.title | Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. | en_US |
dc.contributor.affiliationother | INSERM, U897, 33076 Bordeaux, France | en_US |
dc.contributor.affiliationother | Université Victor Segalen, 33076 Bordeaux, France | en_US |
dc.identifier.pmid | 19432771 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/79185/1/j.1541-0420.2009.01234.x.pdf | |
dc.identifier.doi | 10.1111/j.1541-0420.2009.01234.x | en_US |
dc.identifier.source | Biometrics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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