Kolamunnage-Dona, R ORCID: 0000-0003-3886-6208 and Williamson, PR ORCID: 0000-0001-9802-6636
(2018)
Time-dependent efficacy of longitudinal biomarker for clinical endpoint.
Statistical Methods in Medical Research, 27 (6).
pp. 1909-1924.
Text
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Abstract
Joint modelling of longitudinal biomarker and event-time processes has gained its popularity in recent years as they yield more accurate and precise estimates. Considering this modelling framework, a new methodology for evaluating the time-dependent efficacy of a longitudinal biomarker for clinical endpoint is proposed in this article. In particular, the proposed model assesses how well longitudinally repeated measurements of a biomarker over various time periods (0,t) distinguishes between individuals who developed the disease by time t and individuals who remain disease-free beyond time t. The receiver operating characteristic (ROC) curve is used to provide the corresponding efficacy summaries at various t based on the association between longitudinal biomarker trajectory and risk of clinical endpoint prior to each time point. The model also allows detecting the time period over which a biomarker should be monitored for its best discriminatory value. The proposed approach is evaluated through simulation and illustrated on the motivating dataset from a prospective observational study of biomarkers to diagnose the onset of sepsis.
Item Type: | Article |
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Uncontrolled Keywords: | joint modelling, longitudinal biomarker, time to event, ROC curve, sepsis |
Depositing User: | Symplectic Admin |
Date Deposited: | 16 Sep 2016 09:29 |
Last Modified: | 19 Jan 2023 07:30 |
DOI: | 10.1177/0962280216673084 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3003328 |