Sample size for biomarker studies: more subjects or more measurements per subject?
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Updated: Sep 27, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Dejian Lai1, Terri M King, Lemuel A Moyé
1Program in Biometry, The University of Texas, School of Public Health, Houston 77030, USA.
Purpose:
In molecular epidemiologic studies, optimizing the use of available biological specimens while minimizing the cost is always a challenge. This is particularly true in pilot studies, which often have limited funding and involve small numbers of biological samples too small for assessment of recently developed biomarkers.
Methods:
In this study we examined several statistical approaches for determining how many experimental subjects to use in a biomarker study and how many repeated measurements to make on each sample, given specific funding considerations and the correlated nature of the repeated measurements.
Results:
A molecular epidemiology study of DNA repair and aging in basal cell carcinoma was used to illustrate the application of the statistical methods proposed.
Conclusions:
Our methods extend traditional designs on biomarker studies with repeated measurements to including funding constraints.
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