Simulation and Analysis of Adaptive Bayesian Clinical Trials

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Documentation for package ‘bayesCT’ version 0.99.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

analysis	Analysis wrapper function
beta_prior	Beta prior for for control and treatment group
binomialBACT	Binomial counts for Bayesian Adaptive Trials
binomialdata	Binomial dataset for analyzing adaptive Bayesian trials
binomial_analysis	Analyzing Bayesian trial for binomial counts
binomial_outcome	Proportion of an event in control and treatment
data_binomial	Data file for binomial analysis
data_normal	Data file for normal analysis
data_survival	Data file for survival analysis
enrollment	Simulating enrollment dates
enrollment_rate	Enrollment rate wrapper
gamma_prior	Gamma prior for for control and treatment group
historical_binomial	Historical data for binomial distribution
historical_normal	Historical data for normal distribution
historical_survival	Historical data for survival analysis
hypothesis	Hypothesis wrapper
impute	Imputation wrapper
normalBACT	Normal distribution for Bayesian Adaptive Trials
normaldata	Gaussian dataset for analyzing adaptive Bayesian trials
normal_analysis	Analyzing Bayesian trial for normal mean data
normal_outcome	Parameters for treatment and control in normal case
pw_exp_impute	Imputes time-to-event outcomes.
pw_exp_sim	Simulates time-to-event outcomes.
randomization	Randomization allocation
randomize	Randomization scheme wrapper
simulate	Simulation wrapper for binomial and normal.
study_details	Details of the clinical study
survivalBACT	Time-to-event outcome for Bayesian Adaptive Trials
survivaldata	Time-to-event dataset for analyzing adaptive Bayesian trials
survival_analysis	Analyzing Bayesian trial for time-to-event data
survival_outcome	Piecewise constant hazard rates and the cutpoint for control and treatment group