StoppingCohortsNearDose-class

.StoppingCohortsNearDose

StoppingCohortsNearDose

.DefaultStoppingCohortsNearDose

<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>StoppingCohortsNearDose</code> is the class for stopping based on number of
cohorts near to next best dose.

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 

StoppingCohortsNearDose-class function

<dl><dt>nCohorts</dt>
<dd>(<code>number</code>) see slot definition.</dd>
<dt>percentage</dt>
<dd>(<code>number</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>nCohorts</code></dt>
<dd>(<code>number</code>) number of required cohorts.</dd></dl>
<dt><code>percentage</code></dt>
<dd>(<code>number</code>) percentage (between and including 0 and 100)
within the next best dose the cohorts must lie.</dd>

Slots

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
<code>StoppingCohortsNearDose</code> is the class for stopping based on number of
cohorts near to next best dose.

StoppingCohortsNearDose — StoppingCohortsNearDose-class

<dl>

<dt>nCohorts</dt>
<dd>(<code>number</code>) see slot definition.</dd>


<dt>percentage</dt>
<dd>(<code>number</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>nCohorts</code></dt>
<dd>(<code>number</code>) number of required cohorts.</dd>


<dt><code>percentage</code></dt>
<dd>(<code>number</code>) percentage (between and including 0 and 100)
within the next best dose the cohorts must lie.</dd>


</dl>

<code>StoppingCohortsNearDose</code>

StoppingCohortsNearDose-class: `StoppingCohortsNearDose`

Description

Usage

Arguments

Slots

Examples