pancancer

Simulated data used in bigtcr examples.

For studying recurrent disease and death with competing
risks, comparisons based on the well-known cumulative incidence function
can be confounded by different prevalence rates of the competing events.
Alternatively, comparisons of the conditional distribution of the survival
time given the failure event type are more relevant for investigating the
prognosis of different patterns of recurrence disease. This package implements
a nonparametric estimator for the conditional cumulative incidence function
and a nonparametric conditional bivariate cumulative incidence function for the
bivariate gap times proposed in Huang et al. (2016) <doi:10.1111/biom.12494>.

Chenguang Wang

bigtcr

Nonparametric Analysis of Bivariate Gap Time with Competing
Risks

pancancer function

A dataframe with 3 variables:<dl class="dl-horizontal">
 <dt>obs.y</dt><dd>Observed time to failure events or censoring in months</dd>
 <dt>min.type</dt><dd>Type of failure events
<dl class="dl-horizontal">
<dt>0</dt><dd>Censored</dd>
<dt>1</dt><dd>death with metastasis limited to lung only</dd>
<dt>2</dt><dd>death with metastasis that involves sites other than lung (e.g. liver)</dd>
<dt>3</dt><dd>death without disease recurrence</dd>
</dl></dd>
<dt>v</dt><dd>Time to recurrence. NA if no recurrence observed</dd>
</dl>

Format

Example Pancreatic Cancer Dataset — pancancer

A dataframe with 3 variables:<dl class='dl-horizontal'>
 <dt>obs.y</dt><dd>Observed time to failure events or censoring in months</dd>
 <dt>min.type</dt><dd>Type of failure events
<dl class='dl-horizontal'>
<dt>0</dt><dd>Censored</dd>
<dt>1</dt><dd>death with metastasis limited to lung only</dd>
<dt>2</dt><dd>death with metastasis that involves sites other than lung (e.g. liver)</dd>
<dt>3</dt><dd>death without disease recurrence</dd>
</dl></dd>
<dt>v</dt><dd>Time to recurrence. NA if no recurrence observed</dd>
</dl>

pancancer: Example Pancreatic Cancer Dataset

Description

Arguments

Format

Details