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stat.ME2026
From priors to performance: enhancing statistical efficiency with Bayesian dynamic borrowing
Xinxin Chen, Ezequiel Braga, Joseph G. Ibrahim +2
One of the main advantages of the Bayesian approach to statistical inference is the flexibility in incorporating information from various sources, from expert opinion to historical…
stat.ME2026
NP-LEAP: Nonparametric Latent Exchangeability Prior for Model-Lean Borrowing from Historical Data
Ethan M. Alt, Miheer Dewaskar, Jacob M. Maronge +2
Bayesian dynamic borrowing (BDB) methods leverage historical data to reduce treatment effect uncertainty, yet existing approaches rely on parametric outcome models susceptible to m…