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Two-Stage Procedures for Selecting the Best Diagnostic Biomarkers
Aiyi Liu, Chengqing Wu and Kai F. Yu
Philosophical Transactions: Mathematical, Physical and Engineering Sciences
Vol. 366, No. 1874, Mathematical and Statistical Methods for Diagnoses and Therapies (Jul. 13, 2008), pp. 2293-2299
Published by: Royal Society
Stable URL: http://www.jstor.org/stable/25190835
Page Count: 7
You can always find the topics here!Topics: Biological markers, Sample size, Mathematical procedures, Applied statistics, Simulations, Statistics, Health outcomes, Estimate reliability, Diseases, Gaussian distributions
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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.
Philosophical Transactions: Mathematical, Physical and Engineering Sciences © 2008 Royal Society