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20202026
most citedThe scale transformed power prior for use with historical data from a different outcome model

1 citations · 3 across the 10 of their papers we have counts for

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stat.ME2024★ 1 cited

BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data

Yueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim

The BayesPPDSurv (Bayesian Power Prior Design for Survival Data) R package supports Bayesian power and type I error calculations and model fitting using the power and normalized po…

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,…