Publications

Filters: First Letter Of Last Name is P and Author is Matthew Psioda  [Clear All Filters]
2017
Ibrahim, Joseph G., and Matthew Psioda. BayesProp: Bayesian Clinical Trial Design for Regression Models Using Historical Data (SAS)., 2017.
Ibrahim, Joseph G., and Matthew Psioda. CureBayes: Bayesian phase 3 design using the cure rate model. (SAS and R)., 2017.
2016
Psioda, Matthew, and Joseph G. Ibrahim. BetaBinPredProb: Compute predictive probabilities in Bayesian design for Phase IIA trials in a beta-binomial case (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. binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. BPower: Computes two versions of Bayesian power for normal models (SAS).., 2016.
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. MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS).., 2016.
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, and Joseph G. Ibrahim. normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (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.