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) distinguish between individuals who developed the disease by time t and individuals who remain disease-free beyond time t. The receiver operating characteristic 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.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Kolamunnage-Dona R,Williamson PRdoi
10.1177/0962280216673084subject
Has Abstractpub_date
2018-06-01 00:00:00pages
1909-1924issue
6eissn
0962-2802issn
1477-0334journal_volume
27pub_type
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