IncrementsMaxToxProb-class

.IncrementsMaxToxProb

IncrementsMaxToxProb

.DefaultIncrementsMaxToxProb

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=crmPack&version=2.0.0" alt="[Experimental]"></a>
<code>IncrementsMaxToxProb</code> is the class for increments control based on
probability of toxicity

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 

IncrementsMaxToxProb-class function

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

Arguments

<dl>
<dt><code>prob</code></dt>
<dd>(<code>numeric</code>) See Usage Notes below.</dd></dl>

Slots

For binary models, <code>prob</code> should be a scalar probability.
For ordinal models, <code>prob</code> should be a named vector containing the maximum
permissible probability of toxicity by grade. The names should match the
names of the <code>yCategories</code> slot of the associated <code>DataOrdinal</code> object.

Usage Notes

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
<code>IncrementsMaxToxProb</code> is the class for increments control based on
probability of toxicity

IncrementsMaxToxProb — IncrementsMaxToxProb-class

<dl>

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

</dl>

<dl>
<dt><code>prob</code></dt>
<dd>(<code>numeric</code>) See Usage Notes below.</dd>


</dl>

For binary models, <code>prob</code> should be a scalar probability.
For ordinal models, <code>prob</code> should be a named vector containing the maximum
permissible probability of toxicity by grade. The names should match the
names of the <code>yCategories</code> slot of the associated <code>DataOrdinal</code> object.

IncrementsMaxToxProb-class: `IncrementsMaxToxProb`

Description

Usage

Arguments

Slots

Usage Notes

Examples