SAMPLE SIZE DETERMINATION USING ROC ANALYSIS

Abstract : The paper presents a new method of sample size determination (SSD) based on performance evaluation of systems under study. The method builds upon previous work on Bayesian approach to nonparametric receiver operating characteristics (ROC) analysis with estimation of probability density functions and confidence intervals for parameters of ROC curve. Technical details of the method together with an illustration of its application to a real clinical example is given. The advantages of the method include ability to handle and comparemodels built using multidimentional, multimodal data, with no need for prior estimation of the effect size and variability. The disadvantages of the approach include high computational requirements, especially when the method of SSD deploys AUC as a measure of systems performance.
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Communication dans un congrès
SPMC researc group, University of Plymouth. 3rd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2007), Jul 2007, Plymouth, United Kingdom. 2007
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https://hal.inria.fr/inria-00442370
Contributeur : Brahim Hamadicharef <>
Soumis le : lundi 21 décembre 2009 - 09:33:30
Dernière modification le : jeudi 24 décembre 2009 - 13:51:33
Document(s) archivé(s) le : jeudi 17 juin 2010 - 23:59:02

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  • HAL Id : inria-00442370, version 1

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Viktoriya Stalbovskaya, Brahim Hamadicharef, Emmanuel Ifeachor. SAMPLE SIZE DETERMINATION USING ROC ANALYSIS. SPMC researc group, University of Plymouth. 3rd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2007), Jul 2007, Plymouth, United Kingdom. 2007. 〈inria-00442370〉

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