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Cited by 174

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Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs

Moskowitz, Chaya S, Pepe, Margaret S·2006·Clinical Trials

Abstract

Background Although statistical methodology is well developed for comparing diagnostic tests in terms of their sensitivities and specificities, comparative inference about predictive values is not. Purpose In this paper we consider the design and analysis of studies comparing the positive and negative predictive values of two diagnostic tests that are measured on all subjects. Methods We focus on comparing tests using the relative positive and negative predictive values. We discuss directly estimating these quantities from the data and derive analytic variance expressions. Sample size formulas for study design ensue. Results We analyze data on patients with cystic fibrosis to illustrate the methodology. This approach is compared and contrasted with an existing regression framework that can also be used for similar analysis purposes and yields similar results. Conclusions We have developed a new approach for comparing the predictive values of two tests that gives rise to sample size formulas for study design.

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Metadata

Authors
Moskowitz, C. S., & Pepe, M. S.
Venue
Clinical Trials
Published
2006-06
Volume
3
Issue
3
Pages
272-279
ISSN
  • 1740-7745 (ISSN-L)
  • 1740-7753
OpenAlex
W1990725108
Cited by
174
References
1
FWCI
2.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs. https://app.cochat.ai/papers/10.1191/1740774506cn147oa
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Moskowitz, C. S., & Pepe, M. S. (2006). Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs. Clinical Trials. https://doi.org/10.1191/1740774506cn147oa

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.