getInnerPsi

Calculate psi for the given scenario, incl. constant

internal

Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.

Morten Dreher

optconerrf

Optimal Monotone Conditional Error Functions

Werner Brannath

Cornelia Ursula Kunz

Johanna zur Verth

getInnerPsi function

<dl><dt>firstStagePValue</dt>
<dd>First-stage p-value, internally used as integral argument.</dd>
<dt>constant</dt>
<dd>Current value of the level constant for the optimal conditional error function, internally used as integral argument.</dd>
<dt>design</dt>
<dd>An object of class <code>TrialDesignOptimalConditionalError</code> created by <code>getDesignOptimalConditionalErrorFunction()</code>. Contains all necessary arguments to calculate the optimal conditional error function for the specified case.</dd></dl>

Arguments

Internal variation of getPsi() used by findLevelConstant() — getInnerPsi

<dl>

<dt>firstStagePValue</dt>
<dd>First-stage p-value, internally used as integral argument.</dd>


<dt>constant</dt>
<dd>Current value of the level constant for the optimal conditional error function, internally used as integral argument.</dd>


<dt>design</dt>
<dd>An object of class <code>TrialDesignOptimalConditionalError</code> created by <code>getDesignOptimalConditionalErrorFunction()</code>. Contains all necessary arguments to calculate the optimal conditional error function for the specified case.</dd>

</dl>

getInnerPsi: Internal variation of `getPsi()` used by `findLevelConstant()`

Description

Usage

Value

Arguments

Details