Literature DB >> 31773788

Adaptive trial designs in diagnostic accuracy research.

Antonia Zapf1, Maria Stark1, Oke Gerke2, Christoph Ehret3, Norbert Benda4,5, Patrick Bossuyt6, Jon Deeks7,8, Johannes Reitsma9, Todd Alonzo10, Tim Friede5.   

Abstract

The aim of diagnostic accuracy studies is to evaluate how accurately a diagnostic test can distinguish diseased from nondiseased individuals. Depending on the research question, different study designs and accuracy measures are appropriate. As the prior knowledge in the planning phase is often very limited, modifications of design aspects such as the sample size during the ongoing trial could increase the efficiency of diagnostic trials. In intervention studies, group sequential and adaptive designs are well established. Such designs are characterized by preplanned interim analyses, giving the opportunity to stop early for efficacy or futility or to modify elements of the study design. In contrast, in diagnostic accuracy studies, such flexible designs are less common, even if they are as important as for intervention studies. However, diagnostic accuracy studies have specific features, which may require adaptations of the statistical methods or may lead to specific advantages or limitations of sequential and adaptive designs. In this article, we summarize the current status of methodological research and applications of flexible designs in diagnostic accuracy research. Furthermore, we indicate and advocate future development of adaptive design methodology and their use in diagnostic accuracy trials from an interdisciplinary viewpoint. The term "interdisciplinary viewpoint" describes the collaboration of experts of the academic and nonacademic research.
© 2019 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

Keywords:  adaptive designs; diagnostic accuracy; diagnostic studies; group sequential designs; sample size reestimation

Mesh:

Year:  2019        PMID: 31773788     DOI: 10.1002/sim.8430

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  Studies for the Evaluation of Diagnostic Tests–Part 28 of a Series on Evaluation of Scientific Publications.

Authors:  Annika Hoyer; Antonia Zapf
Journal:  Dtsch Arztebl Int       Date:  2021-08-23       Impact factor: 5.594

2.  Blinded sample size re-estimation in a comparative diagnostic accuracy study.

Authors:  Maria Stark; Mailin Hesse; Werner Brannath; Antonia Zapf
Journal:  BMC Med Res Methodol       Date:  2022-04-19       Impact factor: 4.612

3.  Sample size recalculation based on the prevalence in a randomized test-treatment study.

Authors:  Amra Hot; Norbert Benda; Patrick M Bossuyt; Oke Gerke; Werner Vach; Antonia Zapf
Journal:  BMC Med Res Methodol       Date:  2022-07-25       Impact factor: 4.612

4.  Bayesian sample size determination for diagnostic accuracy studies.

Authors:  Kevin J Wilson; S Faye Williamson; A Joy Allen; Cameron J Williams; Thomas P Hellyer; B Clare Lendrem
Journal:  Stat Med       Date:  2022-04-10       Impact factor: 2.497

5.  Randomized test-treatment studies with an outlook on adaptive designs.

Authors:  Werner Vach; Antonia Zapf; Amra Hot; Patrick M Bossuyt; Oke Gerke; Simone Wahl
Journal:  BMC Med Res Methodol       Date:  2021-06-01       Impact factor: 4.615

  5 in total

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