computeMHPBoundaries

Compute the three modified Haybittle-Peto boundaries

Clinical trial design for subgroup selection in three-stage group
sequential trial as described in Lai, Lavori and Liao (2014,
<doi:10.1016/j.cct.2014.09.001>). Includes facilities for design,
exploration and analysis of such trials. An implementation of
the initial DEFUSE-3 trial is also provided as a vignette.

Balasubramanian Narasimhan

ASSISTant

Adaptive Subgroup Selection in Group Sequential Trials

Tze Leung Lai

Philip Lavori

Olivia Liao

Ka Wai Tsang

computeMHPBoundaries function

<dl><dt>prevalence</dt>
<dd>the vector of prevalences between 0 and 1 summing
to 1. \(J\), the number of groups, is implicitly the length
of this vector and should be at least 2.</dd>
<dt>N</dt>
<dd>a three-vector of total sample size at each stage</dd>
<dt>alpha</dt>
<dd>the type I error</dd>
<dt>beta</dt>
<dd>the type II error</dd>
<dt>eps</dt>
<dd>the fraction (between 0 and 1) of the type 1 error to
spend in the interim stages 1 and 2</dd>
<dt>futilityOnly</dt>
<dd>a logical value indicating only the futility
boundary is to be computed; default <code>FALSE</code></dd></dl>

Arguments

Compute the three modified Haybittle-Peto boundaries — computeMHPBoundaries

<dl>

<dt>prevalence</dt>
<dd>the vector of prevalences between 0 and 1 summing
to 1. \(J\), the number of groups, is implicitly the length
of this vector and should be at least 2.</dd>


<dt>N</dt>
<dd>a three-vector of total sample size at each stage</dd>


<dt>alpha</dt>
<dd>the type I error</dd>


<dt>beta</dt>
<dd>the type II error</dd>


<dt>eps</dt>
<dd>the fraction (between 0 and 1) of the type 1 error to
spend in the interim stages 1 and 2</dd>


<dt>futilityOnly</dt>
<dd>a logical value indicating only the futility
boundary is to be computed; default <code>FALSE</code></dd>

</dl>

computeMHPBoundaries: Compute the three modified Haybittle-Peto boundaries

Description

Usage

Value

Arguments