Please use this identifier to cite or link to this item: https://doi.org/10.1002/sim.5794
Title: Sensitivity in statistical evaluation of biomarkers
Authors: Li, W. 
Qu, Y.
Kulkarni, P.M.
Keywords: Biomarker
Proportion of information gain
Proportion of treatment effect
Surrogate endpoint
Issue Date: 20-Sep-2013
Citation: Li, W., Qu, Y., Kulkarni, P.M. (2013-09-20). Sensitivity in statistical evaluation of biomarkers. Statistics in Medicine 32 (21) : 3636-3645. ScholarBank@NUS Repository. https://doi.org/10.1002/sim.5794
Abstract: In clinical research and practice, biomarkers help in understanding disease progression and are useful when monitoring patients and making treatment decisions. Correct quantification of biomarkers in predicting the clinical outcome is important for better treatment of individual patients. Despite the rich literature in statistical validation, application of these validation methods in real data is not well studied. Specifically, the question is whether the change in a biomarker or the actual assessed value of the biomarker should be used. Contrary to most published papers in which the actual value of the biomarker is used, we showed through theory, simulation, and an example that it is more appropriate to use the change or the actual value in the marker with adjustment for the baseline value in evaluating a marker. © 2013 John Wiley & Sons, Ltd.
Source Title: Statistics in Medicine
URI: http://scholarbank.nus.edu.sg/handle/10635/124810
ISSN: 02776715
DOI: 10.1002/sim.5794
Appears in Collections:Staff Publications

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