Online Updating of Statistical Inference in the Big Data Setting. Read more about Online Updating of Statistical Inference in the Big Data Setting.
DTIPrep: quality control of diffusion-weighted images. Read more about DTIPrep: quality control of diffusion-weighted images.
fitRE: Bayesian superiority design for gamma frailty recurrent events model (SAS). Read more about fitRE: Bayesian superiority design for gamma frailty recurrent events model (SAS).
NormalMean_BSS: Calculates the Bayesian sample size based on ACC, ALC, and WOC for normal model (SAS). Read more about NormalMean_BSS: Calculates the Bayesian sample size based on ACC, ALC, and WOC for normal model (SAS).
BetaBinPredProb: Compute predictive probabilities in Bayesian design for Phase IIA trials in a beta-binomial case (SAS). Read more about BetaBinPredProb: Compute predictive probabilities in Bayesian design for Phase IIA trials in a beta-binomial case (SAS).
MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS). Read more about MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS).
BPower: Computes two versions of Bayesian power for normal models (SAS). Read more about BPower: Computes two versions of Bayesian power for normal models (SAS).
normDesignPP: Bayesian sample size for non-inferiority randomized trials with normal data with power prior (SAS). Read more about normDesignPP: Bayesian sample size for non-inferiority randomized trials with normal data with power prior (SAS).
normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (SAS). Read more about normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (SAS).
binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS). Read more about binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS).
