SimulationResultsRates

A class for simulation results rates.

internal

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

Friedrich Pahlke

rpact

Confirmatory Adaptive Clinical Trial Design and Analysis

Gernot Wassmer

SimulationResultsRates function

<dl>
<dt><code>groups</code></dt>
<dd>The number of groups. Is an integer vector of length 1.</dd></dl>
<dt><code>directionUpper</code></dt>
<dd>Logical. Specifies the direction of the alternative,
only applicable for one-sided testing, default is TRUE which means that larger values
of the test statistics yield smaller p-values.</dd>
<dt><code>normalApproximation</code></dt>
<dd>Logical. Describes if a normal approximation was used when calculating p-values.
Default for means is <code>FALSE</code> and <code>TRUE</code> for rates and hazard ratio.</dd>

Fields

Class for Simulation Results Rates — SimulationResultsRates

<dl>
<dt><code>groups</code></dt>
<dd>The number of groups. Is an integer vector of length 1.</dd>


<dt><code>directionUpper</code></dt>
<dd>Logical. Specifies the direction of the alternative,
only applicable for one-sided testing, default is TRUE which means that larger values
of the test statistics yield smaller p-values.</dd>


<dt><code>normalApproximation</code></dt>
<dd>Logical. Describes if a normal approximation was used when calculating p-values.
Default for means is <code>FALSE</code> and <code>TRUE</code> for rates and hazard ratio.</dd>


</dl>

SimulationResultsRates: Class for Simulation Results Rates

Description

Arguments

Fields

Details