Time-dependent efficacy of longitudinal biomarker for clinical endpoint

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). 1909 - 1924.

[img] Text
Accepted_RKolamunnageDona.docx - Accepted Version

Download (705kB)


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
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: 26 Nov 2021 04:10
DOI: 10.1177/0962280216673084
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3003328