Application of trajectories from growth curve in identification of longitudinal biomarker for the multivariate survival data

Feng-shou Ko

Journal of Applied Statistics, 2017, vol. 44, issue 3, 416-426

Abstract: In clinical studies, the researchers measure the patients' response longitudinally. In recent studies, Mixed models are used to determine effects in the individual level. In the other hand, Henderson et al. [3,4] developed a joint likelihood function which combines likelihood functions of longitudinal biomarkers and survival times. They put random effects in the longitudinal component to determine if a longitudinal biomarker is associated with time to an event. In this paper, we deal with a longitudinal biomarker as a growth curve and extend Henderson's method to determine if a longitudinal biomarker is associated with time to an event for the multivariate survival data.

Date: 2017
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DOI: 10.1080/02664763.2016.1174196

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