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Comparison of approaches to estimate confidence intervals of post-test probabilities of diagnostic test results in a nested case-control study

Overview of attention for article published in BMC Medical Research Methodology, October 2012
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Title
Comparison of approaches to estimate confidence intervals of post-test probabilities of diagnostic test results in a nested case-control study
Published in
BMC Medical Research Methodology, October 2012
DOI 10.1186/1471-2288-12-166
Pubmed ID
Authors

Bas van Zaane, Yvonne Vergouwe, A Rogier T Donders, Karel GM Moons

Abstract

Nested case-control studies become increasingly popular as they can be very efficient for quantifying the diagnostic accuracy of costly or invasive tests or (bio)markers. However, they do not allow for direct estimation of the test's predictive values or post-test probabilities, let alone for their confidence intervals (CIs). Correct estimates of the predictive values itself can easily be obtained using a simple correction by the (inverse) sampling fractions of the cases and controls. But using this correction to estimate the corresponding standard error (SE), falsely increases the number of patients that are actually studied, yielding too small CIs. We compared different approaches for estimating the SE and thus CI of predictive values or post-test probabilities of diagnostic test results in a nested case-control study.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 3%
France 1 3%
Brazil 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 6 17%
Professor > Associate Professor 3 9%
Student > Postgraduate 2 6%
Other 2 6%
Other 6 17%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 9 26%
Agricultural and Biological Sciences 6 17%
Mathematics 2 6%
Engineering 2 6%
Business, Management and Accounting 1 3%
Other 5 14%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from BMC Medical Research Methodology
#1,500
of 2,001 outputs
Outputs of similar age
#116,287
of 184,189 outputs
Outputs of similar age from BMC Medical Research Methodology
#17
of 26 outputs
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