generateNormalData

A data generation function along the lines of what was used in the Lai, Lavori, Liao paper.
score rather than a normal distribution

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

generateNormalData function

<dl><dt>prevalence</dt>
<dd>a vector of group prevalences (length denoted by J below)</dd>
<dt>N</dt>
<dd>the sample size to generate</dd>
<dt>mean</dt>
<dd>a 2 x J matrix of means under the null (first row) and alternative for each group</dd>
<dt>sd</dt>
<dd>a 2 x J matrix of standard deviations under the null (first row) and alternative for each group</dd></dl>

Arguments

A data generation function along the lines of what was used in the Lai, Lavori, Liao paper.
score rather than a normal distribution — generateNormalData

<dl>

<dt>prevalence</dt>
<dd>a vector of group prevalences (length denoted by J below)</dd>


<dt>N</dt>
<dd>the sample size to generate</dd>


<dt>mean</dt>
<dd>a 2 x J matrix of means under the null (first row) and alternative for each group</dd>


<dt>sd</dt>
<dd>a 2 x J matrix of standard deviations under the null (first row) and alternative for each group</dd>

</dl>

generateNormalData: A data generation function along the lines of what was used in the Lai, Lavori, Liao paper. score rather than a normal distribution

Description

Usage

Value

Arguments