bladder5

datasets

Provides estimates for the bivariate and trivariate distribution
functions and bivariate and trivariate survival functions for
censored gap times. Two approaches, using existing methodologies,
are considered: (i) the Lin's estimator, which is based on the
extension the Kaplan-Meier estimator of the distribution function
for the first event time and the Inverse Probability of Censoring
Weights for the second time (Lin DY, Sun W, Ying Z (1999)
<doi:10.1093/biomet/86.1.59> and (ii) another estimator
based on Kaplan-Meier weights (Una-Alvarez J, Meira-Machado L (2008)
<https://w3.math.uminho.pt/~lmachado/Biometria_conference.pdf>).
The proposed methods are the landmark estimators based on
subsampling approach, and the estimator based on weighted cumulative
hazard estimator. The package also provides nonparametric estimator
conditional to a given continuous covariate. All these methods have
been submitted to be published.

Gustavo Soutinho

survivalREC

Nonparametric Estimation of the Distribution of Gap Times for
Recurrent Events

Luis Meira-Machado

Artur Araujo

Ana Moreira

bladder5 function

A data frame with 85 observations on the following 10 variables.<dl>
 <dt><code>t1</code></dt>
<dd>First time or censoring time.</dd> <dt><code>d1</code></dt>
<dd>Indicator of the first time; 0 if the first time is 
 censored and 1 otherwise.</dd> <dt><code>t2</code></dt>
<dd>Second time or censoring time.</dd> <dt><code>d2</code></dt>
<dd>Indicator of the second time; 0 if the first time is 
 censored and 1 otherwise.</dd> <dt><code>t3</code></dt>
<dd>Third time or censoring time.</dd> <dt><code>d3</code></dt>
<dd>Indicator of the third time; 0 if the first time is 
 censored and 1 otherwise.</dd> <dt><code>t4</code></dt>
<dd>The total time of the process</dd> <dt><code>d4</code></dt>
<dd>Censoring indicator of the survival time of the process; 0 
 if the total time is censored and 1 otherwise.</dd> <dt><code>rx</code></dt>
<dd>Values of covariate rx.</dd> <dt><code>size</code></dt>
<dd>Values of covariate size.</dd> 
</dl>

Format

bladder5 — bladder5

A data frame with 85 observations on the following 10 variables.<dl>
 <dt><code>t1</code></dt>
<dd>First time or censoring time.</dd>

 <dt><code>d1</code></dt>
<dd>Indicator of the first time; 0 if the first time is 
 censored and 1 otherwise.</dd>

 <dt><code>t2</code></dt>
<dd>Second time or censoring time.</dd>

 <dt><code>d2</code></dt>
<dd>Indicator of the second time; 0 if the first time is 
 censored and 1 otherwise.</dd>

 <dt><code>t3</code></dt>
<dd>Third time or censoring time.</dd>

 <dt><code>d3</code></dt>
<dd>Indicator of the third time; 0 if the first time is 
 censored and 1 otherwise.</dd>

 <dt><code>t4</code></dt>
<dd>The total time of the process</dd>

 <dt><code>d4</code></dt>
<dd>Censoring indicator of the survival time of the process; 0 
 if the total time is censored and 1 otherwise.</dd>

 <dt><code>rx</code></dt>
<dd>Values of covariate rx.</dd>

 <dt><code>size</code></dt>
<dd>Values of covariate size.</dd>

 
</dl>

bladder5: bladder5

Description

Usage

Arguments

Format

Examples