Short-cut multiple comparisons for balanced single and double classifications. 2. Derivations and approximations

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PROCESS guided case series of primary targeted muscle reinnervation and regenerative peripheral nerve interfaces in the prevention of post amputation and phantom limb pain.

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Doubly robust and efficient calibration of prediction sets for right-censored time-to-event outcomes.

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Individualized dynamic latent factor model for multi-resolutional data with application to mobile health.

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Biometrika·2026

Finding distributions that differ, with false discovery rate control.

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Biometrika·2026

Comparing causal parameters with many treatments and positivity violations.

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Predatory Publications Bias the Findings of Orthodontic Meta-analyses.

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Short-cut multiple comparisons for balanced single and double classifications. 2. Derivations and approximations

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