sim_dtl_bern: 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 drop-the-losers multi-arm clinical trial for a Bernoulli distributed primary outcome

Description

sim_dtl_bern() determines the operating characteristics of a specified multi-stage drop-the-losers multi-arm clinical trial design assuming the primary outcome is Bernoulli distributed, for given values of the true treatment effects, using simulation.

Usage

sim_dtl_bern(
  des = des_dtl_bern(integer = TRUE),
  pi,
  replicates = 1e+05,
  summary = FALSE
)

Arguments

des	A list of class "multiarm_des_dtl_bern", as returned by build_dtl_bern or des_dtl_bern (i.e., a multi-stage drop-the-losers multi-arm clinical trial design for a Bernoulli distributed outcome). Note: The sample sizes in all arms must be whole numbers. Defaults to des_dtl_bern(integer = TRUE).
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 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_dtl_bern, des_dtl_bern, opchar_dtl_bern, plot.multiarm_des_dtl_bern.

Examples

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

## End(Not run)

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