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

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