abcdRand

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

abcdRand function

<dl><dt>N</dt>
<dd>integer for the total sample size of the trial.</dd>
<dt>a</dt>
<dd>nonnegative parameter which controls the degree of randomness:
For decreasing <code>a</code> the allocations become deterministic, while for increasing
<code>a</code> the randomization procedure tends to complete randomization.</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

Sampling algorithm for abcd — abcdRand

<dl>

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


<dt>a</dt>
<dd>nonnegative parameter which controls the degree of randomness:
For decreasing <code>a</code> the allocations become deterministic, while for increasing
<code>a</code> the randomization procedure tends to complete randomization.</dd>


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

</dl>

Sampling algorithm for abcd

abcdRand: Sampling algorithm for abcd

Description

Usage

Value

Arguments

References