Assurance Methods for Clinical Trials with a Delayed Treatment Effect


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Documentation for package ‘DTEAssurance’ version 1.3.0

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add_recruitment_time Add recruitment time to a survival dataset
apply_design_rule Apply a design rule to paired replicate output
apply_GSD_to_trial Apply a group-sequential design to one simulated trial
assurance_adaptive_shiny_app Launch the 'shiny' adaptive assurance app
assurance_shiny_app Launch the 'shiny' Assurance app
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_matched_futility_boundary Calibrate a fixed Z-statistic futility boundary
calibrate_PP_threshold Function to calculate the 'optimal' PP threshold value
calibrate_PP_timing Function to calculate the 'optimal' information fraction to calculate PP
cens_data Censor a survival dataset
compute_relative_floors Relative power floors for kappa selection
INTEREST INTEREST data set
make_gsd_design Build the group-sequential design for a GSD_model
make_rpact_design_from_GSD_model Build the group-sequential design for a GSD_model
MCMC_sample MCMC_sample
PP_func Calculate the predictive probability (PP) given interim data and posterior samples
REVEL REVEL data set
run_calibration_grid Simulate PP values and true trial outcomes for PP-threshold calibration
run_paired_scenario Run paired replicates for one scenario, with checkpointing
select_kappa_star Select the PP futility threshold minimising null expected sample size
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.
single_paired_rep Simulate one paired replicate for post hoc design evaluation
summarize_grid_by_kappa Summarise calibration output over a grid of PP futility thresholds
survival_test Calculate statistical significance on a survival dataset
update_priors Update prior distributions using interim survival data
ZODIAC ZODIAC data set