Identification of longitudinal biomarkers for survival by a score test derived from a joint model of longitudinal and competing risks data |
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| Authors: | Feng-Shou Ko |
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| Institution: | Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Miaoli 350, Taiwan, Republic of China |
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| 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. |
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| Keywords: | competing risks EM algorithm repeated measurements score test surrogate |
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