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