R: Assurance Methods for Clinical Trials with a Delayed Treatment Effect

# Assurance Methods for Clinical Trials with a Delayed Treatment Effect

## Documentation for package ‘DTEAssurance’ version 1.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## 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