param_pi1_survival

A numeric value or vector that represents the assumed event rate in the treatment group, 
default is <code>seq(0.2, 0.5, 0.1)</code> (power calculations and simulations) or 
<code>seq(0.4, 0.6, 0.1)</code> (sample size calculations).

Parameter Description: Pi (1) for Survival Data

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

param_pi1_survival function

<dl><dt>pi1</dt>
<dd>A numeric value or vector that represents the assumed event rate in the treatment group, 
default is <code>seq(0.2, 0.5, 0.1)</code> (power calculations and simulations) or 
<code>seq(0.4, 0.6, 0.1)</code> (sample size calculations).</dd></dl>

Arguments

Parameter Description: Pi (1) for Survival Data — param_pi1_survival

<dl>

<dt>pi1</dt>
<dd>A numeric value or vector that represents the assumed event rate in the treatment group, 
default is <code>seq(0.2, 0.5, 0.1)</code> (power calculations and simulations) or 
<code>seq(0.4, 0.6, 0.1)</code> (sample size calculations).</dd>

</dl>

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param_pi1_survival: Parameter Description: Pi (1) for Survival Data

Description

Arguments