Adjustment for the measurement error in evaluating biomarker performances at baseline for future survival outcomes: Time-dependent ROC curve within a joint modelling framework

Kolamunnage-Dona, Ruwanthi ORCID: 0000-0003-3886-6208 (2020) Adjustment for the measurement error in evaluating biomarker performances at baseline for future survival outcomes: Time-dependent ROC curve within a joint modelling framework Research Methods in Medicine & Health Sciences, 2 (2). pp. 51-60. ISSN 2632-0843, 2632-0843

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Abstract

The performance of a biomarker is defined by how well the biomarker is capable to distinguish between healthy and diseased individuals. This assessment is usually based on the baseline value of the biomarker; the value at the earliest time point of the patient follow-up, and quantified by ROC (receiver operating characteristic) curve analysis. However, the observed baseline value is often subjected to measurement error due to imperfect laboratory conditions and limited machine precision. Failing to adjust for measurement error may underestimate the true performance of the biomarker, and in a direct comparison, useful biomarkers could be overlooked. We develop a novel approach to account for measurement error when calculating the performance of the baseline biomarker value for future survival outcomes. We adopt a joint longitudinal and survival data modelling formulation and use the available longitudinally repeated values of the biomarker to make adjustment of the measurement error in time-dependent ROC curve analysis. Our simulation study shows that the proposed measurement error-adjusted estimator is more efficient for evaluating the performance of the biomarker than estimators ignoring the measurement error. The proposed method is illustrated using Mayo Clinic primary biliary cirrhosis (PBC) study.

Item Type:	Article
Uncontrolled Keywords:	49 Mathematical Sciences, 4905 Statistics, Bioengineering, Precision Medicine, 4.1 Discovery and preclinical testing of markers and technologies, 8.4 Research design and methodologies (health services)
Depositing User:	Symplectic Admin
Date Deposited:	10 Nov 2020 10:36
Last Modified:	16 Jan 2026 02:24
DOI:	10.1177/2632084320972257
Open Access URL:	https://doi.org/10.1177%2F2632084320972257
Related Websites:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3106383
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