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E. Alt

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Preprint Aug 2026

NP-LEAP: Nonparametric Latent Exchangeability Prior for Model-Lean Borrowing from Historical Data

Bayesian dynamic borrowing (BDB) methods leverage historical data to reduce treatment effect uncertainty, yet existing approaches rely on parametric outcome models susceptible to misspecification. We propose the nonparametric latent exchangeability prior (NP-LEAP), an outcome-agnostic, assumption-lean framework to borr...

E. Alt, Miheer Dewaskar, Jacob M Maronge et al. · 0 citations
Review Sep 2026

From priors to performance: enhancing statistical efficiency with Bayesian dynamic borrowing

The most common dynamic borrowing approaches for external data, including how to incorporate multiple historical data sets, are reviewed and used in practice, using publicly available software, to perform important statistical tasks such as model selection, average treatment effect estimation and prior sensitivity anal...

Xin-Xin Chen, E. Braga, Joseph G. Ibrahim et al. · 0 citations

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