StoppingTargetBiomarker-class

.StoppingTargetBiomarker

StoppingTargetBiomarker

.DefaultStoppingTargetBiomarker

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=crmPack&version=2.0.0" alt="[Stable]"></a>
<code>StoppingTargetBiomarker</code> is a class for stopping based on probability of
target biomarker.

Implements a wide range of dose escalation
designs. The focus is on model-based designs, ranging from classical and
modern continual reassessment methods (CRMs) based on dose-limiting toxicity
endpoints to dual-endpoint designs taking into account a biomarker/efficacy
outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy
to setup a new design with custom JAGS code. However, it is also possible to
implement 3+3 designs for comparison or models with non-Bayesian estimation.
The whole package is written in a modular form in the S4 class system, making it
very flexible for adaptation to new models, escalation or stopping rules.
Further details are presented in
Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

Wai Yin Yeung

Burak Kuersad Guenhan

Giuseppe Palermo

Thomas Jaki

Jiawen Zhu

Ziwei Liao

Dimitris Kontos

Marlene Schulte-Goebel

Doug Kelkhoff

Oliver Boix

Robert Adams

Clara Beck

John Kirkpatrick

Wojciech Wójciak

Guanya Peng

Prerana Chandratre

F. Hoffmann-La Roche AG 

Merck Healthcare KGaA 

Bayer AG 

RPACT GmbH 

StoppingTargetBiomarker-class function

<dl><dt>target</dt>
<dd>(<code>numeric</code>) see slot definition.</dd>
<dt>prob</dt>
<dd>(<code>proportion</code>) see slot definition.</dd>
<dt>is_relative</dt>
<dd>(<code>flag</code>) see slot definition.</dd>
<dt>report_label</dt>
<dd>(<code>string</code> or <code>NA</code>) see slot definition.</dd></dl>

Arguments

<dl>
<dt><code>target</code></dt>
<dd>(<code>numeric</code>) the biomarker target range that needs to be
reached. For example, <code>target = c(0.8, 1.0)</code> with <code>is_relative = TRUE</code>
means that we target a dose with at least 80% of maximum biomarker level.</dd></dl>
<dt><code>is_relative</code></dt>
<dd>(<code>flag</code>) is target relative? If it so (default), then
the <code>target</code> is interpreted relative to the maximum, so it must be a
probability range. Otherwise, the <code>target</code> is interpreted as absolute
biomarker range.</dd>
<dt><code>prob</code></dt>
<dd>(<code>proportion</code>) required target probability (except 0 or 1) for
reaching sufficient precision.</dd>

Slots

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
<code>StoppingTargetBiomarker</code> is a class for stopping based on probability of
target biomarker.

StoppingTargetBiomarker — StoppingTargetBiomarker-class

<dl>

<dt>target</dt>
<dd>(<code>numeric</code>) see slot definition.</dd>


<dt>prob</dt>
<dd>(<code>proportion</code>) see slot definition.</dd>


<dt>is_relative</dt>
<dd>(<code>flag</code>) see slot definition.</dd>


<dt>report_label</dt>
<dd>(<code>string</code> or <code>NA</code>) see slot definition.</dd>

</dl>

<dl>
<dt><code>target</code></dt>
<dd>(<code>numeric</code>) the biomarker target range that needs to be
reached. For example, <code>target = c(0.8, 1.0)</code> with <code>is_relative = TRUE</code>
means that we target a dose with at least 80% of maximum biomarker level.</dd>


<dt><code>is_relative</code></dt>
<dd>(<code>flag</code>) is target relative? If it so (default), then
the <code>target</code> is interpreted relative to the maximum, so it must be a
probability range. Otherwise, the <code>target</code> is interpreted as absolute
biomarker range.</dd>


<dt><code>prob</code></dt>
<dd>(<code>proportion</code>) required target probability (except 0 or 1) for
reaching sufficient precision.</dd>


</dl>

<code>StoppingTargetBiomarker</code>

StoppingTargetBiomarker-class: `StoppingTargetBiomarker`

Description

Usage

Arguments

Slots

Examples