gs_info_combo: Information and effect size for MaxCombo test

In gsDesign2: Group Sequential Design with Non-Constant Effect

Information and effect size for MaxCombo test

Description

Information and effect size for MaxCombo test

Usage

gs_info_combo(
  enroll_rate = define_enroll_rate(duration = c(2, 2, 10), rate = c(3, 6, 9)),
  fail_rate = define_fail_rate(duration = c(3, 100), fail_rate = log(2)/c(9, 18), hr =
    c(0.9, 0.6), dropout_rate = 0.001),
  ratio = 1,
  event = NULL,
  analysis_time = NULL,
  rho,
  gamma,
  tau = rep(-1, length(rho)),
  approx = "asymptotic"
)

Arguments

enroll_rate	An enroll_rate data frame with or without stratum created by define_enroll_rate().
fail_rate	A fail_rate data frame with or without stratum created by define_fail_rate().
ratio	Experimental:Control randomization ratio (not yet implemented).
event	Targeted events at each analysis.
analysis_time	Minimum time of analysis.
rho	Weighting parameters.
gamma	Weighting parameters.
tau	Weighting parameters.
approx	Approximation method.

Value

A tibble with columns as test index, analysis index, analysis time, sample size, number of events, ahr, delta, sigma2, theta, and statistical information.

Examples

gs_info_combo(rho = c(0, 0.5), gamma = c(0.5, 0), analysis_time = c(12, 24))

gsDesign2 documentation built on April 3, 2025, 9:39 p.m.