Sample size and power analysis for ROC AUC differences in diagnostic tests: a methodological evaluation of the Obuchowski-McClish and Hanley-McNeil methods

Key Points

• ROC AUC differences are crucial in assessing diagnostic tests' accuracy, and the analysis brings light to their implications.
• The methodology involves comparing sample size and power analysis through Obuchowski-McClish and Hanley-McNeil approaches.
• Sample size must be sufficient to detect clinically meaningful differences in ROC AUC to ensure reliability of diagnostic tests.
• Understanding these methods can optimize study designs in future clinical assessments of diagnostic performance.