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Simultaneous inference for factorial multireader diagnostic trials.

Authors
  • Konietschke, Frank1
  • Aguayo, Randolph R1
  • Staab, Wieland2
  • 1 Department of Mathematical Sciences, The University of Texas at Dallas, 75080 Richardson, TX, U.S.A.
  • 2 Department of Diagnostic Radiology, University Medical Center Göttingen, 37075 Göttingen, Germany. , (Germany)
Type
Published Article
Journal
Statistics in Medicine
Publisher
Wiley (John Wiley & Sons)
Publication Date
Jan 15, 2018
Volume
37
Issue
1
Pages
28–47
Identifiers
DOI: 10.1002/sim.7507
PMID: 28980323
Source
Medline
Keywords
License
Unknown

Abstract

We study inference methods for the analysis of multireader diagnostic trials. In these studies, data are usually collected in terms of a factorial design involving the factors Modality and Reader. Furthermore, repeated measures appear in a natural way since the same patient is observed under different modalities by several readers and the repeated measures may have a quite involved dependency structure. The hypotheses are formulated in terms of the areas under the ROC curves. Currently, only global testing procedures exist for the analysis of such data. We derive rank-based multiple contrast test procedures and simultaneous confidence intervals which take the correlation between the test statistics into account. The procedures allow for testing arbitrary multiple hypotheses. Extensive simulation studies show that the new approaches control the nominal type 1 error rate very satisfactorily. A real data set illustrates the application of the proposed methods.

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