randSeq-class

This set of classes provides functionality of storing randomization
sequences of different randomization procedures along with the parameters
representing the design.

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

randSeq-class function

<dl>
<dt><code>N</code></dt>
<dd>total number of patients included in the trial</dd></dl>
<dt><code>M</code></dt>
<dd>matrix containing randomization sequences of length <code>N</code> in its
rows.</dd>
<dt><code>K</code></dt>
<dd>number of treatment groups</dd>
<dt><code>groups</code></dt>
<dd>character string of length K defining the names of the treatment groups</dd>
<dt><code>ratio</code></dt>
<dd>ratio of patients between the different groups</dd>

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An S4 Class for the representation of  randomization sequences — randSeq-class

<dl>
<dt><code>N</code></dt>
<dd>total number of patients included in the trial</dd>


<dt><code>M</code></dt>
<dd>matrix containing randomization sequences of length <code>N</code> in its
rows.</dd>


<dt><code>K</code></dt>
<dd>number of treatment groups</dd>


<dt><code>groups</code></dt>
<dd>character string of length K defining the names of the treatment groups</dd>


<dt><code>ratio</code></dt>
<dd>ratio of patients between the different groups</dd>


</dl>

An S4 Class for the representation of  randomization sequences

randSeq-class: An S4 Class for the representation of randomization sequences

Description

Arguments

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