opchar_gs_bern: Analytically determine the operating characteristics of a...

In mjg211/multiarm: Design of single- and multi-stage multi-arm clinical trials

Analytically determine the operating characteristics of a multi-stage group-sequential multi-arm clinical trial for a Bernoulli distributed primary outcome

Description

opchar_gs_bern() determines the operating characteristics of a specified multi-stage group-sequential multi-arm clinical trial design assuming the primary outcome variable is Bernoulli distributed, for given values of the true treatment effects, using multivariate normal integration.

Usage

opchar_gs_bern(des = des_gs_bern(), pi, summary = FALSE)

Arguments

des	A list of class "multiarm_des_gs_bern", as returned by build_gs_bern or des_gs_bern (i.e., a multi-stage group-sequential multi-arm clinical trial design for a Bernoulli distributed outcome). Defaults to des_gs_bern().
pi	A matrix whose rows indicate values of π at which to evaluate the operating characteristics. Defaults internally to the global null, global alternative, and each of the least favourable configurations, for the specified design des.
summary	A logical variable indicating whether a summary of the function's progress should be printed to the console. Defaults to FALSE.

Value

A list containing the following elements

• A tibble in the slot $opchar giving the determined operating characteristics.

• A tibble in the slot $pmf_N giving the determined probability mass functions of the random required sample size.

• Each of the input variables.

See Also

build_gs_bern, des_gs_bern, plot.multiarm_des_gs_bern, sim_gs_bern.

Examples

# The operating characteristics for the default parameters
opchar        <- opchar_gs_bern()

mjg211/multiarm documentation built on Jan. 19, 2024, 8:21 a.m.