calc_prob_reject_both

Helper function to calculate the probability to reject both hypotheses
given the mean of the normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TC2).

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_prob_reject_both function

<dl><dt>mu_vec</dt>
<dd>vector of means of the test statistic c(Z_TP1, Z_TP2, Z_TC1, Z_TC1).</dd>
<dt>D</dt>
<dd>list containing all parameters of a the trial design.</dd></dl>

Arguments

Helper function to calculate the probability to reject both hypotheses
given the mean of the normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TC2). — calc_prob_reject_both

<dl>

<dt>mu_vec</dt>
<dd>vector of means of the test statistic c(Z_TP1, Z_TP2, Z_TC1, Z_TC1).</dd>


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

</dl>

Helper function to calculate the probability to reject both hypotheses
given the mean of the normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TC2).

calc_prob_reject_both: Helper function to calculate the probability to reject both hypotheses given the mean of the normal test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TC2).

Description

Usage

Arguments