most citedBeyond the classical type I error: Bayesian metrics for Bayesian designs using informative priors

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

stat.ME2025

Covariate Adjustment for the Win Odds: Application to Cardiovascular Outcomes Trials

Cyrill Scheidegger, Simon Wandel, Tobias Mütze

Covariate adjustment can enhance precision and power in clinical trials, yet its application to the win odds remains unclear. The win odds is an extension of the win ratio that cou…

stat.ME2023★ 2 cited

Beyond the classical type I error: Bayesian metrics for Bayesian designs using informative priors

Nicky Best, Maxine Ajimi, Beat Neuenschwander +2

There is growing interest in Bayesian clinical trial designs with informative prior distributions, e.g. for extrapolation of adult data to pediatrics, or use of external controls.…