chenRand

internal

This tool enables the user to choose a randomization procedure
based on sound scientific criteria. It comprises the generation of
randomization sequences as well the assessment of randomization procedures
based on carefully selected criteria. Furthermore, 'randomizeR' provides a
function for the comparison of randomization procedures.

Ralf-Dieter Hilgers

randomizeR

Randomization for Clinical Trials

David Schindler

Diane Uschner

Denis Razsolkov

Dimitar Mihaylov

Marcia Viviane Rueckbeil

Martin Manolov

Thi Mui Pham

Michael Martini

Nicole Heussen

Daniel Bodden

chenRand function

<dl><dt>N</dt>
<dd>integer for the total sample size of the trial.</dd>
<dt>mti</dt>
<dd>maximum tolerated imbalance in patient numbers during the trial.</dd>
<dt>p</dt>
<dd>success probability of the biased coin (e.g. in Efron's Biased Coin
Design).</dd>
<dt>K</dt>
<dd>number of treatment groups (e.g. K=2 if we compare one experimental
against one control treatment).</dd></dl>

Arguments

Representing Chen's Design — chenRand

<dl>

<dt>N</dt>
<dd>integer for the total sample size of the trial.</dd>


<dt>mti</dt>
<dd>maximum tolerated imbalance in patient numbers during the trial.</dd>


<dt>p</dt>
<dd>success probability of the biased coin (e.g. in Efron's Biased Coin
Design).</dd>


<dt>K</dt>
<dd>number of treatment groups (e.g. K=2 if we compare one experimental
against one control treatment).</dd>

</dl>

Representing Chen's Design

chenRand: Representing Chen's Design

Description

Usage

Value

Arguments

References