StoppingMaxGainCIRatio-class

.StoppingMaxGainCIRatio

StoppingMaxGainCIRatio

.DefaultStoppingMaxGainCIRatio

<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>StoppingMaxGainCIRatio</code> is the class for testing a stopping rule that is based
on a target ratio of the 95% credibility interval. Specifically, this is the
ratio of the upper to the lower bound of the 95% credibility interval's
estimate of the:
(1) target dose (i.e. a dose that corresponds to a given target
probability of the occurrence of a DLT <code>prob_target</code>), or
(2) max gain dose (i.e. a dose which gives the maximum gain),
depending on which one out of these two is smaller.

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 

StoppingMaxGainCIRatio-class function

<dl><dt>target_ratio</dt>
<dd>(<code>numeric</code>) see slot definition.</dd>
<dt>prob_target</dt>
<dd>(<code>proportion</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_ratio</code></dt>
<dd>(<code>numeric</code>) target for the ratio of the 95% credibility
interval's estimate, that is required to stop a trial.</dd></dl>
<dt><code>prob_target</code></dt>
<dd>(<code>proportion</code>) the target probability of the occurrence
of a DLT.</dd>

Slots

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
<code>StoppingMaxGainCIRatio</code> is the class for testing a stopping rule that is based
on a target ratio of the 95% credibility interval. Specifically, this is the
ratio of the upper to the lower bound of the 95% credibility interval's
estimate of the:
(1) target dose (i.e. a dose that corresponds to a given target
probability of the occurrence of a DLT <code>prob_target</code>), or
(2) max gain dose (i.e. a dose which gives the maximum gain),
depending on which one out of these two is smaller.

StoppingMaxGainCIRatio — StoppingMaxGainCIRatio-class

<dl>

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


<dt>prob_target</dt>
<dd>(<code>proportion</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_ratio</code></dt>
<dd>(<code>numeric</code>) target for the ratio of the 95% credibility
interval's estimate, that is required to stop a trial.</dd>


<dt><code>prob_target</code></dt>
<dd>(<code>proportion</code>) the target probability of the occurrence
of a DLT.</dd>


</dl>

<code>StoppingMaxGainCIRatio</code>

StoppingMaxGainCIRatio-class: `StoppingMaxGainCIRatio`

Description

Usage

Arguments

Slots

Examples