Function reference • simtrial

Distributions

rpwexp(): The piecewise exponential distribution

rpwexp_enroll(): Generate piecewise exponential enrollment

fit_pwexp(): Piecewise exponential survival estimation

Simulate data under the piecewise model

sim_pw_surv(): Simulate a stratified time-to-event outcome randomized trial

sim_fixed_n(): Simulation of fixed sample size design for time-to-event endpoint

sim_gs_n(): Simulate group sequential designs with fixed sample size

to_sim_pw_surv(): Convert enrollment and failure rates from sim_fixed_n() to sim_pw_surv() format

Cut data

cut_data_by_date(): Cut a dataset for analysis at a specified date

cut_data_by_event(): Cut a dataset for analysis at a specified event count

get_cut_date_by_event(): Get date at which an event count is reached

get_analysis_date(): Derive analysis date for interim/final analysis given multiple conditions

create_cut(): Create a cutting function

Compute p-values/test statistics

counting_process(): Process survival data into counting process format

rmst(): RMST difference of 2 arms

milestone(): Milestone test for two survival curves

wlr(): Weighted logrank test

maxcombo(): MaxCombo test

create_test(): Create a cutting test function

multitest(): Perform multiple tests on trial data cutting

Randomization algorithms

randomize_by_fixed_block(): Permuted fixed block randomization

Weight functions for WLR test

mb(): Magirr and Burman weighting function

fh(): Fleming-Harrington weighting function

early_zero(): Zero early weighting function

Example datasets

ex1_delayed_effect: Time-to-event data example 1 for non-proportional hazards working group

ex2_delayed_effect: Time-to-event data example 2 for non-proportional hazards working group

ex3_cure_with_ph: Time-to-event data example 3 for non-proportional hazards working group

ex4_belly: Time-to-event data example 4 for non-proportional hazards working group

ex5_widening: Time-to-event data example 5 for non-proportional hazards working group

ex6_crossing: Time-to-event data example 6 for non-proportional hazards working group

mb_delayed_effect: Simulated survival dataset with delayed treatment effect