colorectal

This dataset combines the data that were collected in 26 double-blind randomized clinical trials in advanced colorectal cancer.

datasets

In a clinical trial, it frequently occurs that the most credible
outcome to evaluate the effectiveness of a new therapy (the true endpoint) is
difficult to measure. In such a situation, it can be an effective strategy to
replace the true endpoint by a (bio)marker that is easier to measure and that
allows for a prediction of the treatment effect on the true endpoint (a
surrogate endpoint). The package 'Surrogate' allows for an evaluation of the
appropriateness of a candidate surrogate endpoint based on the meta-analytic,
information-theoretic, and causal-inference frameworks. Part of this software
has been developed using funding provided from the European Union's Seventh
Framework Programme for research, technological development and demonstration
(Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt
University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland
Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.

Wim der Elst

Surrogate

Evaluation of Surrogate Endpoints in Clinical Trials

Wim Van Der Elst

Florian Stijven

Fenny Ong

Dries De Witte

Paul Meyvisch

Alvaro Poveda

Ariel Alonso

Hannah Ensor

Christoper Weir

Geert Molenberghs

colorectal function

A data frame with 3943 observations on the following 7 variables.<dl>
 <dt><code>TRIAL</code></dt>
<dd>The ID number of a trial.</dd> <dt><code>responder</code></dt>
<dd>Binary tumor response (the candidate surrogate), coded as 2=complete response (CR) or partial response (PR) and 1=stabled disease (SD) or progressive disease (PD).</dd> <dt><code>SURVIND</code></dt>
<dd>Censoring indicator for survival time.</dd> <dt><code>TREAT</code></dt>
<dd>The treatment indicator, coded as 0=active control and 1=experimental treatment.</dd> <dt><code>CENTER</code></dt>
<dd>The center in which a patient was treated. In this dataset, there was only one center per trial, hence TRIAL=CENTER.</dd> <dt><code>patientid</code></dt>
<dd>The ID number of a patient.</dd> <dt><code>surv</code></dt>
<dd>Survival time (the true endpoint).</dd> 
</dl>

Format

The Colorectal dataset with a binary surrogate. — colorectal

A data frame with 3943 observations on the following 7 variables.<dl>
 <dt><code>TRIAL</code></dt>
<dd>The ID number of a trial.</dd>

 <dt><code>responder</code></dt>
<dd>Binary tumor response (the candidate surrogate), coded as 2=complete response (CR) or partial response (PR) and 1=stabled disease (SD) or progressive disease (PD).</dd>

 <dt><code>SURVIND</code></dt>
<dd>Censoring indicator for survival time.</dd>

 <dt><code>TREAT</code></dt>
<dd>The treatment indicator, coded as 0=active control and 1=experimental treatment.</dd>

 <dt><code>CENTER</code></dt>
<dd>The center in which a patient was treated. In this dataset, there was only one center per trial, hence TRIAL=CENTER.</dd>

 <dt><code>patientid</code></dt>
<dd>The ID number of a patient.</dd>

 <dt><code>surv</code></dt>
<dd>Survival time (the true endpoint).</dd>

 
</dl>

The Colorectal dataset with a binary surrogate.

colorectal: The Colorectal dataset with a binary surrogate.

Description

Usage

Arguments

Format

References

Examples