Analyzing paired diagnostic studies by estimating the expected benefit-Reference-Cited by-同舟云学术

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Analyzing paired diagnostic studies by estimating the expected benefit

Published:2015-03-24 Issue:3 Volume:57 Page:395-409
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Gerke Oke¹²,Høilund-Carlsen Poul Flemming¹³,Vach Werner⁴

Affiliation:

1. Department of Nuclear Medicine; Odense University Hospital; Sdr. Boulevard 29 5000 Odense C Denmark

2. Department of Business and Economics; Centre of Health Economics Research, University of Southern Denmark; Campusvej 55 5230 Odense M Denmark

3. Institute of Clinical Research; University of Southern Denmark; Winsløwsparken 19 5000 Odense C Denmark

4. Clinical Epidemiology; Department of Medical Biometry and Medical Informatics, University of Freiburg; Stefan-Meier-Str. 26 79104 Freiburg Germany

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference28 articles.

1. Approximate is better than “exact” for interval estimation of binomial proportions;Agresti;American Statistician,1998

2. Randomised comparisons of medical tests: sometimes invalid, not always efficient;Bossuyt;Lancet,2000

3. Beyond diagnostic accuracy: the clinical utility of diagnostic tests;Bossuyt;Clinical Chemistry,2012

4. Interval estimation for a binomial proportion;Brown;Statistical Science,2001

5. The use of confidence or fiducial limits illustrated in the case of the binomial;Clopper;Biometrika,1934

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