Sample size and power analysis for ROC AUC differences in diagnostic tests: a methodological evaluation of the Obuchowski-McClish and Hanley-McNeil methods | Synapse
March 3, 2026Open Access
Sample size and power analysis for ROC AUC differences in diagnostic tests: a methodological evaluation of the Obuchowski-McClish and Hanley-McNeil methods
Puntos clave
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.