Identification of longitudinal biomarkers for survival by a score test derived from a joint model of longitudinal and competing risks data
Feng-Shou Ko
Journal of Applied Statistics, 2014, vol. 41, issue 10, 2270-2281
Abstract:
In this paper, we consider joint modelling of repeated measurements and competing risks failure time data. For competing risks time data, a semiparametric mixture model in which proportional hazards model are specified for failure time models conditional on cause and a multinomial model for the marginal distribution of cause conditional on covariates. We also derive a score test based on joint modelling of repeated measurements and competing risks failure time data to identify longitudinal biomarkers or surrogates for a time to event outcome in competing risks data.
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:41:y:2014:i:10:p:2270-2281
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DOI: 10.1080/02664763.2014.909789
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