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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.ME2025
hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
Ethan M. Alt, Xinxin Chen, Luiz M. Carvalho +1
There has been increased interest in the use of historical data to formulate informative priors in regression models. While many such priors for incorporating historical data have…
stat.ME2024
ANPP: the Adapted Normalized Power Prior for Borrowing Information from Multiple Historical Datasets in Clinical Trials
Yueqi Shen, Matthew A. Psioda, Luiz M. Carvalho +1
The power prior is a popular class of informative priors for incorporating information from historical data. It involves raising the likelihood for the historical data to a power,…