delayed_effect_sim: Simulate survival data from a two-arm trial

In dominicmagirr/modestWLRT: Functions for implementing modestly-weighted logrank tests.

Description

delayed_effect_sim Simulate survival data: exponential vs. two-piece exponential.

Usage

delayed_effect_sim(n_c = 100, n_e = 100, rec_period = 12,
  rec_power = 1, med_c = 15, rate_e_1 = log(2)/9, rate_e_2 = 0.04,
  delay = 6, max_cal_t = 36, n_events = NULL)

Arguments

n_c	Number of patients on control treatment.
n_e	Number of patients on experimental treatment.
rec_period	Recruitment period.
rec_power	Recruitment follows a power model. Pr(recruited before T) = (T / rec_period) ^ rec_power.
med_c	Median survival time on control.
rate_e_1	Event rate during first period on experimental arm.
rate_e_2	Event rate during second period on experimental arm.
delay	Length of first period.
max_cal_t	Maximum calendar time, i.e., time from start of the trial to data cut-off.

Value

A data frame containing survival time, whether patient has event (1 = yes, 0 = censored), and treatment arm.

dominicmagirr/modestWLRT documentation built on Sept. 16, 2020, 2:43 p.m.