calc_conditional_local_rejection_probs

Calculate the (local) conditional type I errors of both hypothesis given both interim test statistics.

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_conditional_local_rejection_probs function

<dl><dt>Z_TP1</dt>
<dd>First stage Z-test statistic of the superiority test of treatment over placebo.</dd>
<dt>Z_TC1</dt>
<dd>First stage Z-test statistic of the non-inferiority test of treatment to the active control.</dd>
<dt>D</dt>
<dd>list containing all parameters of a the trial design.</dd>
<dt>mu_vec</dt>
<dd>vector of means of the test statistic c(Z_TP1, Z_TP2, Z_TC1, Z_TC1).</dd></dl>

Arguments

Calculate the (local) conditional type I errors of both hypothesis given both interim test statistics. — calc_conditional_local_rejection_probs

<dl>

<dt>Z_TP1</dt>
<dd>First stage Z-test statistic of the superiority test of treatment over placebo.</dd>


<dt>Z_TC1</dt>
<dd>First stage Z-test statistic of the non-inferiority test of treatment to the active control.</dd>


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


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

</dl>

calc_conditional_local_rejection_probs: Calculate the (local) conditional type I errors of both hypothesis given both interim test statistics.

Description

Usage

Value

Arguments