calc_mu_wo_nT1

This quantity is helpful when solving for the smallest n which fulfills a certain power constraint.

Methods to calculate optimal design parameters
for one- and two-stage three-arm group-sequential gold-standard
non-inferiority trial designs
with or without binding or nonbinding futility boundaries,
as described in Meis et al. (2023) <doi:10.1002/sim.9630>.

Jan Meis

OptimalGoldstandardDesigns

Design Parameter Optimization for Gold-Standard Non-Inferiority
Trials

calc_mu_wo_nT1 function

<dl><dt>D</dt>
<dd>list containing all parameters of a the trial design.</dd></dl>

Arguments

Helper function to calculate expected value of normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TP2)
under the null and alternative hypothesis given nT1=1, gamma and mu. — calc_mu_wo_nT1

<dl>

<dt>D</dt>
<dd>list containing all parameters of a the trial design.</dd>

</dl>

Helper function to calculate expected value of normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TP2)
under the null and alternative hypothesis given nT1=1, gamma and mu.

calc_mu_wo_nT1: Helper function to calculate expected value of normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TP2) under the null and alternative hypothesis given nT1=1, gamma and mu.

Description

Usage

Arguments