sim_gs_norm: Empirically determine the operating characteristics of a...

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

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

Description

sim_gs_norm() determines the operating characteristics of a specified multi-stage group-sequential multi-arm clinical trial design assuming the primary outcome is normally distributed, for given values of the true treatment effects, using simulation.

Usage

sim_gs_norm(
  des = des_gs_norm(integer = TRUE),
  tau,
  replicates = 1e+05,
  summary = FALSE
)

Arguments

des	A list of class "multiarm_des_gs_norm", as returned by build_gs_norm or des_gs_norm (i.e., a multi-stage group-sequential multi-arm clinical trial design for a normally distributed outcome). Note: The sample sizes in all arms must be whole numbers. Defaults to des_gs_norm(integer = TRUE).
tau	A matrix whose rows indicate values of τ at which to evaluate the operating characteristics. Defaults internally to the global null, global alternative, and each of the least favourable configurations if unspecified.
replicates	A numeric indicating the number of replicate simulations to use for each value of τ. Defaults to 1e5.
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 $sim giving the estimated operating characteristics.

• Each of the input variables.

See Also

build_gs_norm, des_gs_norm, opchar_gs_norm, plot.multiarm_des_gs_norm.

Examples

## Not run: 
# The estimated operating characteristics for the default parameters
sim   <- sim_gs_norm()

## End(Not run)

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