Adaptive Trial Designs for Survival and Binary Endpoints

Documentation for package ‘goldilocks’ version 0.6.0

enrollment	Simulate exact continuous-time enrollment
goldilocks	goldilocks
plot_enrollment	Plot an enrollment projection
plot_sim_decisions	Plot predictive-probability decision maps
plot_sim_ocs	Plot operating characteristics across simulation scenarios
plot_sim_stopping	Plot stopping outcomes from trial simulations
plot_trial_trace	Plot predictive probabilities and enrollment at interim looks
ppwe	Cumulative distribution function of the PWE for a vectorized hazard rate parameter
print.goldilocks_trial	Print an adaptive trial trace result
prop_to_haz	Estimate plausible piecewise constant hazard rates from summary summary event proportions
pwe_impute	Impute piecewise exponential time-to-event outcomes
pwe_sim	Simulate piecewise exponential time-to-event outcomes
randomization	Randomization allocation
sim_comp_data	Simulate a complete clinical trial with event data drawn from a piecewise exponential distribution
sim_trials	Simulate one or more clinical trials subject to known design parameters and treatment effect
summarise_sims	Summarize simulations to get operating characteristics
summarise_trial_trace	Summarize an interim decision path
survival_adapt	Simulate and analyze one Goldilocks adaptive trial