Optimal Sampling Ratios in Comparative Diagnostic Trials

Tang, Lin; Rosenberger, William F.

doi:10.1111/rssc.12043

Cited by 3 publications

(1 citation statement)

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“…For the comparison of ROC curves, instead of AUCs, Ye and Tang derived asymptotic properties of the sequential differences of two empirical ROC curves at the process level . Dong et al addressed the optimal sampling ratio including adaptations …”

Section: Adaptive Designs For Diagnostic Accuracy Studiesmentioning

confidence: 99%

Adaptive trial designs in diagnostic accuracy research

Zapf

Stark

Gerke

et al. 2019

Statistics in Medicine

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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.

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Section: Adaptive Designs For Diagnostic Accuracy Studiesmentioning

confidence: 99%