gehan.test

Generalization of the Wilcoxon rank sum which allows for censored data.

survival

nonparametrics

Accompanies the book "Nonparametric Statistical Methods Using R, 2nd Edition" by Kloke and McKean (2024, ISBN:9780367651350).  Includes methods, datasets, and random number generation useful for the study of robust and/or nonparametric statistics.  Emphasizes classical nonparametric methods for a variety of designs --- especially one-sample and two-sample problems.  Includes methods for general scores, including estimation and testing for the two-sample location problem as well as Hogg's adaptive method.

John Kloke

npsm

Nonparametric Statistical Methods

Joseph McKean

gehan.test function

<dl> <dt>time</dt>
<dd>Time of event or of censoring</dd> <dt>event</dt>
<dd>Indicator variable representing a event occur or not (time is censored)</dd> <dt>trt</dt>
<dd>Variable indicating treatment group.</dd></dl>

Arguments

Author

Gehan generalization the Wilcoxon two-sample test — gehan.test

<dl>

 <dt>time</dt>
<dd>Time of event or of censoring</dd>

 <dt>event</dt>
<dd>Indicator variable representing a event occur or not (time is censored)</dd>

 <dt>trt</dt>
<dd>Variable indicating treatment group.</dd>

</dl>

gehan.test: Gehan generalization the Wilcoxon two-sample test

Description

Usage

Value

Arguments

Author

References

Examples