Assurance Methods for Clinical Trials with a Delayed Treatment
Effect
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Documentation for package ‘DTEAssurance’ version 1.1.0
Help Pages
| add_recruitment_time | Add recruitment time to a survival dataset |
| assurance_adaptive_shiny_app | Launch the 'shiny' adaptive assurance app |
| assurance_shiny_app | Launch the 'shiny' Assurance app |
| BPP_func | Calculate Bayesian Predictive Probability given interim data and posterior samples |
| calc_dte_assurance | Calculate Assurance for a Trial with a Delayed Treatment Effect |
| calc_dte_assurance_adaptive | Calculates operating characteristics for a Group Sequential Trial with a Delayed Treatment Effect |
| calibrate_BPP_threshold | Function to calculate the 'optimal' BPP threshold value |
| calibrate_BPP_timing | Function to calculate the 'optimal' information fraction to calculate BPP |
| cens_data | Censor a survival dataset |
| INTEREST | INTEREST data set |
| MCMC_sample | MCMC_sample |
| REVEL | REVEL data set |
| sim_dte | Simulates survival times for a delayed treatment effect (DTE) scenario, where the treatment group experiences a delayed onset of benefit. Control and treatment groups are generated under exponential or Weibull distributions. |
| survival_test | Calculate statistical significance on a survival dataset |
| update_priors | Update prior distributions using interim survival data |
| ZODIAC | ZODIAC data set |