ncp_power: Find the approximate non-centrality parameter and power of a...

In dominicmagirr/gsdelayed: Design a group-sequential trial when anticipating a delayed effect.

Find the approximate non-centrality parameter and power of a modestWLRT.

Description

ncp_power returns the approximate non-centrality parameter and power of a modestWLRT for a range of possible values of t*.

Usage

ncp_power(t_star = NULL, rho = NULL, gamma = NULL, model,
  recruitment, dco, length_t, alpha_one_sided = 0.025)

Arguments

{t_star}	A vector. A range of possible values for t*.
{rho}	rho parameter in a Fleming-Harrington test. Default is NULL. Only used if F-H test used instead of MWLRT.
{gamma}	gamma parameter in a Fleming-Harrington test. Default is NULL. Only used if F-H test used instead of MWLRT.
{model}	A piecewise constant hazard model. A list containing the change_points; the rates lambdas_0 on the control arm; and the rates lambdas_1 on the treatment arm.
{recruitment}	List of recruitment information. Containing Sample size on control, n_0 Sample size on treatment, n_1 Recruitment period, r_period Recruitment parameter for power model, k
{dco}	Time of data cut-off.
{length_t}	Number of cutpoints to use when approximating the distribution of the MWLRT-statistic. Default is 18. Can be increased for greater accuracy.
{alpha_one_sided}	One-sided alpha level.

Value

A list containing

1. non-centrality parameter corresponding to each t* ncp

2. power corresponding to each t* power

dominicmagirr/gsdelayed documentation built on May 15, 2024, 8:24 a.m.