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Psioda, Matthew A., Kuolung Hu, Yang Zhang, Jean Pan, and Joseph G. Ibrahim. "Bayesian design of biosimilars clinical programs involving multiple therapeutic indications." Biometrics 76, no. 2 (2020): 630-642.
Psioda, Matthew, and Joseph G. Ibrahim. binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. binDesign: Bayesian sample size for non-inferiority randomized trials with binary data (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. BPower: Computes two versions of Bayesian power for normal models (SAS).., 2016.
Psioda, Matthew A., Mat Soukup, and Joseph G. Ibrahim. "A practical Bayesian adaptive design incorporating data from historical controls." Stat Med 37, no. 27 (2018): 4054-4070.
Psioda, Matthew, and Joseph G. Ibrahim. design_biomAR: Bayes adaptive randomization for the probit model (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. fitRE: Bayesian superiority design for gamma frailty recurrent events model (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. normDesignPP: Bayesian sample size for non-inferiority randomized trials with normal data with power prior (SAS).., 2016.
Psioda, Matthew A., and Joseph G. Ibrahim. "Bayesian clinical trial design using historical data that inform the treatment effect." Biostatistics 20, no. 3 (2019): 400-415.
Psioda, Matthew, and Joseph G. Ibrahim. NormalMean_BSS: Calculates the Bayesian sample size based on ACC, ALC, and WOC for normal model (SAS).., 2016.
Psioda, Matthew A., and Joseph G. Ibrahim. "Bayesian design of a survival trial with a cured fraction using historical data." Stat Med 37, no. 26 (2018): 3814-3831.
Psioda, Matthew, and Joseph G. Ibrahim. normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (SAS).., 2016.
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