Comparing the predictive values of diagnostic tests: Sample size and analysis for paired study designs Journal Article


Authors: Moskowitz, C. S.; Pepe, M. S.
Article Title: Comparing the predictive values of diagnostic tests: Sample size and analysis for paired study designs
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 frame-work 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. © Society for Clinical Trials 2006.
Keywords: clinical trial; review; research design; methodology; sensitivity and specificity; mathematical model; confidence interval; clinical study; quantitative analysis; cystic fibrosis; data analysis; prediction and forecasting; predictive value of tests; diagnostic test; regression analysis; analysis of variance; disease exacerbation; biometry; sample size; diagnostic tests, routine; empiricism
Journal Title: Clinical Trials
Volume: 3
Issue: 3
ISSN: 1740-7745
Publisher: Sage Publications  
Date Published: 2006-06-01
Start Page: 272
End Page: 279
Language: English
DOI: 10.1191/1740774506cn147oa
PUBMED: 16895044
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 12" - "Export Date: 4 June 2012" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Chaya S. Moskowitz
    278 Moskowitz