AUROC measures how well a model separates outcome Y from non-Y.
A curve closer to the upper-right corner signals high sensitivity and specificity, while the inverted bell-curve of outcome Y reveals the clarity of that separation.
Interactive ROC Curve Visualizer,
Web Application
Interactive guide to ITT, mITT, PP, as-treated, and CACE in trials, with step-by-step visuals and a participant types section (compliers, always/never takers, defiers) for students and researchers choosing analysis populations.
MetaStatCalculator transforms incomplete study data into meta-analysis–ready numbers—calculating change scores, pooling subgroups, deriving or estimating SDs, and combining item scales—to make evidence synthesis faster, accurate, and complete.
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