counting_process | Process survival data into counting process format |
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 |
early_zero_weight | Zero early weight for weighted logrank tests |
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 |
fh_weight | Fleming-Harrington weighted logrank tests |
fit_pwexp | Piecewise exponential survival estimation |
get_analysis_date | Get the analysis date under multiple conditions |
get_cut_date_by_event | Get date at which an event count is reached |
mb_delayed_effect | Simulated survival dataset with delayed treatment effect |
mb_weight | Magirr and Burman modestly weighted logrank tests |
pvalue_maxcombo | MaxCombo p-value |
randomize_by_fixed_block | Permuted fixed block randomization |
rpwexp | The piecewise exponential distribution |
rpwexp_enroll | Generate piecewise exponential enrollment |
sim_fixed_n | Simulation of fixed sample size design for time-to-event endpoint |
sim_pw_surv | Simulate a stratified time-to-event outcome randomized trial |
to_sim_pw_surv | Convert enrollment and failure rates from 'sim_fixed_n()' to 'sim_pw_surv()' format |