logRankRejectionProb

Computes the biased type I error probability (resp. power) of the log rank test due to shifts in the expectation vectors
in both treatment groups.

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

logRankRejectionProb function

<dl><dt>randSeq</dt>
<dd>object of the class randSeq.</dd>
<dt>bias</dt>
<dd>object of the class bias.</dd>
<dt>endp</dt>
<dd>object of the class endpoint.</dd></dl>

Arguments

Approximation of the biased type I error probability (resp. power) of the log rank test — logRankRejectionProb

<dl>

<dt>randSeq</dt>
<dd>object of the class randSeq.</dd>


<dt>bias</dt>
<dd>object of the class bias.</dd>


<dt>endp</dt>
<dd>object of the class endpoint.</dd>

</dl>

Approximation of the biased type I error probability (resp. power) of the log rank test

logRankRejectionProb: Approximation of the biased type I error probability (resp. power) of the log rank test

Description

Usage

Value

Arguments