Sample size calculations for ROC studies: parametric robustness and Bayesian nonparametrics-Reference-Cited by-同舟云学术

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Sample size calculations for ROC studies: parametric robustness and Bayesian nonparametrics

Published:2011-12-05 Issue:2 Volume:31 Page:131-142
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Cheng Dunlei¹,Branscum Adam J.²,Johnson Wesley O.³

Affiliation:

1. Institute for Health Care Research and Improvement; Baylor Health Care System; Dallas; TX 75206; USA

2. Department of Public Health; Oregon State University; Corvallis; OR 97331; USA

3. Department of Statistics; University of California; Irvine; CA 92697; USA

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference18 articles.

1. Sample size determination for diagnostic accuracy studies involving two-group normal ROC curve indices;Obuchowski;Statistics in Medicine,1997

2. A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests;Cheng;Computational Statistics and Data Analysis,2010

3. Multivariate mixtures of Polya trees for modeling ROC data;Hanson;Statistical Modeling,2008

4. Hierarchical models for ROC curve summary measure: design and analysis of multi-reader, multi-modality studies of medical test;Wang;Statistics in Medicine,2008

5. Bayesian sample size determination for prevalence and diagnostic test studies in the absence of a gold standard test;Dendukuri;Biometrics,2004

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