1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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,…
Optimal Priors for the Discounting Parameter of the Normalized Power Prior
Yueqi Shen, Luiz M. Carvalho, Matthew A. Psioda +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,…
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models
Yueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim
The R package BayesPPD (Bayesian Power Prior Design) supports Bayesian power and type I error calculation and model fitting after incorporating historical data with the power prior…
An Empirical Bayes Robust Meta-Analytical-Predictive Prior to Adaptively Leverage External Data
Hongtao Zhang, Yueqi Shen, Alan Y Chiang +1
We propose a novel empirical Bayes robust MAP (EB-rMAP) prior to adaptively leverage external/historical data. Built on Box's prior predictive p-value, the EB-rMAP prior framework…