computeMeanAndSD

Compute the mean and sd of a discrete Rankin 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

computeMeanAndSD function

<dl><dt>probVec</dt>
<dd>a probability vector of length equal to length of support,
default is uniform</dd>
<dt>support</dt>
<dd>a vector of support values (default 0:6 for Rankin Scores)</dd></dl>

Arguments

Compute the mean and sd of a discrete Rankin distribution — computeMeanAndSD

<dl>

<dt>probVec</dt>
<dd>a probability vector of length equal to length of support,
default is uniform</dd>


<dt>support</dt>
<dd>a vector of support values (default 0:6 for Rankin Scores)</dd>

</dl>

computeMeanAndSD: Compute the mean and sd of a discrete Rankin distribution

Description

Usage

Value

Arguments