crPar

Represents the randomization procedure Complete Randomization.

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

crPar function

<dl><dt>N</dt>
<dd>integer for the total sample size of the trial.</dd>
<dt>K</dt>
<dd>number of treatment groups (e.g. K=2 if we compare one experimental
against one control treatment).</dd>
<dt>ratio</dt>
<dd>vector of length <code>K</code>. The total sample number <code>N</code> and
all used block lengths (<code>bc</code>) have to be divisible by <code>sum(ratio)</code>.</dd>
<dt>groups</dt>
<dd>character vector of labels for the different treatments.</dd></dl>

Arguments

Representing Complete Randomization — crPar

<dl>

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


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


<dt>ratio</dt>
<dd>vector of length <code>K</code>. The total sample number <code>N</code> and
all used block lengths (<code>bc</code>) have to be divisible by <code>sum(ratio)</code>.</dd>


<dt>groups</dt>
<dd>character vector of labels for the different treatments.</dd>

</dl>

Representing Complete Randomization

crPar: Representing Complete Randomization

Description

Usage

Value

Arguments

Details

References

See Also