estimate_mutual_information_SurvSurv

<code>estimate_mutual_information_SurvSurv()</code> estimates the mutual information for
a sample of individual causal treatment effects with a time-to-event
surrogate and a time-to-event true endpoint. The mutual information is
estimated by first estimating the bivariate density and then computing the
mutual information for the estimated density.

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

Gokce Deliorman

Paul Meyvisch

Alvaro Poveda

Ariel Alonso

Hannah Ensor

Christoper Weir

Geert Molenberghs

estimate_mutual_information_SurvSurv function

<dl><dt>delta_S</dt>
<dd>(numeric) Vector of individual causal treatment effects on the
surrogate.</dd>
<dt>delta_T</dt>
<dd>(numeric) Vector of individual causal treatment effects on the
true endpoint.</dd>
<dt>minfo_prec</dt>
<dd>Number of quasi Monte-Carlo samples for the numerical
integration to obtain the mutual information. If this value is 0 (default),
the mutual information is not computed and <code>NA</code> is returned for the mutual
information and derived quantities.</dd></dl>

Arguments

Estimate the Mutual Information in the Survival-Survival Setting — estimate_mutual_information_SurvSurv

<dl>

<dt>delta_S</dt>
<dd>(numeric) Vector of individual causal treatment effects on the
surrogate.</dd>


<dt>delta_T</dt>
<dd>(numeric) Vector of individual causal treatment effects on the
true endpoint.</dd>


<dt>minfo_prec</dt>
<dd>Number of quasi Monte-Carlo samples for the numerical
integration to obtain the mutual information. If this value is 0 (default),
the mutual information is not computed and <code>NA</code> is returned for the mutual
information and derived quantities.</dd>

</dl>

Estimate the Mutual Information in the Survival-Survival Setting

estimate_mutual_information_SurvSurv: Estimate the Mutual Information in the Survival-Survival Setting

Description

Usage

Value

Arguments