MMC.TestSurvRec

This contains the Migratoty Motor Complex data

datasets

Implements the routines to compare the survival curves with recurrent events, including the estimations of survival curves. The first model is a model for recurrent event, when the data are correlated or not correlated. It was proposed by Wang and Chang (1999) <doi:10.2307/2669690>. In the independent case, the survival function can be estimated by the generalization of the limit product model of Pena (2001) <doi:10.1198/016214501753381922>.

Carlos Martinez

newTestSurvRec

Statistical Tests to Compare Curves with Recurrent Events

MMC.TestSurvRec function

A data frame with 99 observations on the following 5 variables.<dl class="dl-horizontal">
 <dt><code>j</code></dt><dd>Number of the observation on dataset</dd>
 <dt><code>id</code></dt><dd>ID of each subject. Repeated for each recurrence</dd>
 <dt><code>time</code></dt><dd>recurrence o censoring time</dd>
 <dt><code>event</code></dt><dd>censoring status. All event are 1 for each subject excepting last one that it is 0</dd>
 <dt><code>group</code></dt><dd>A factor with levels <code>Females</code> <code>Males</code></dd>
 </dl>

Format

Migratory Motor Complex — MMC.TestSurvRec

A data frame with 99 observations on the following 5 variables.<dl class='dl-horizontal'>
 <dt><code>j</code></dt><dd>Number of the observation on dataset</dd>
 <dt><code>id</code></dt><dd>ID of each subject. Repeated for each recurrence</dd>
 <dt><code>time</code></dt><dd>recurrence o censoring time</dd>
 <dt><code>event</code></dt><dd>censoring status. All event are 1 for each subject excepting last one that it is 0</dd>
 <dt><code>group</code></dt><dd>A factor with levels <code>Females</code> <code>Males</code></dd>
 </dl>

MMC.TestSurvRec: Migratory Motor Complex

Description

Usage

Arguments

Format

Details

References

Examples