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

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