Two-stage procedures for selecting the best diagnostic biomarkers.
Considered in the paper is the problem of selecting a diagnostic biomarker that has the highest classification rate among several candidate markers with dichotomous outcomes. The probability of correct selection depends on a number of nuisance parameters from the joint distribution of the biomarkers and thus can be substantially affected if these nuisance parameters are misspecified. A two-stage procedure is proposed to compute the needed sample size that achieves the desired level of correct selection, as so confirmed by simulation results.
Liu
Aiyi
A
Biometry and Mathematical Statistics Branch, National Institute of Child Health and Human Development, 6100 Executive Boulevard, Rockville, MD 20852, USA. liua@mail.nih.gov
Wu
Chengqing
C
Yu
Kai F
KF
D015415:Biomarkers; D001699:Biometry; D019937:Diagnostic Techniques and Procedures / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D011336:Probability; D018401:Sample Size; D012680:Sensitivity and Specificity
D015415:Biomarkers