dtl_get_alpha_s_sim: Numerical significance level given a fixed correlation...

In dtlcor: Multiplicity Control on Drop-the-Losers Designs

Numerical significance level given a fixed correlation coefficient for the final stage under drop-the-losers (DTL) design

Description

Get the numerical significant level alpha_s based on a pre-specified FWER alpha given a fixed correlation coefficient for the final stage by simulation (reverse calculation of dtl_tier_sim())

Usage

dtl_get_alpha_s_sim(
  nsim = 1e+05,
  n,
  t,
  rho,
  q,
  alpha,
  sel_g_func = sel_g_func_default,
  ...
)

Arguments

nsim	Number of replicates
n	Sample size per arm at DTL look
t	A vector of information fraction of final stage
rho	Fixed correlation coefficient
q	Response rate under the null
alpha	A pre-specified FWER
sel_g_func	Arm-select function. The default function is sel_g_func_default(W_2, W_1, delta). Users can define their own arm-select function. The format of the function must be function_name(W_2, W_1, ...). The return values must be 1 (arm 1 is selected) or 2 (arm 2 is selected) or 0 (stop for futility).
...	Other arguments from sel_g_func.

Value

Significance level alpha_s for the final stage

Examples

# Without interim analysis
dtl_get_alpha_s_sim(nsim = 100000, n = 80, t = 1, rho = 0.4, q = 0.3, 
                    alpha = 0.025, delta = 0.05)

dtlcor documentation built on June 8, 2025, 12:46 p.m.