StoppingTargetProb-class

.StoppingTargetProb

Stop based on probability of target tox interval

classes

Implements a wide range of model-based dose
escalation 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. The
focus is on Bayesian inference, making it very easy to setup a new design
with its own 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.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of CRM Designs

Wai Yin Yeung

Giuseppe Palermo

Thomas Jaki

StoppingTargetProb-class function

<dl>
<dt><code>target</code></dt>
<dd>the target toxicity interval, e.g. <code>c(0.2, 0.35)</code></dd></dl>
<dt><code>prob</code></dt>
<dd>required target toxicity probability (e.g. <code>0.4</code>)
for reaching sufficient precision</dd>

Slots

Stop based on probability of target tox interval — StoppingTargetProb-class

<dl>
<dt><code>target</code></dt>
<dd>the target toxicity interval, e.g. <code>c(0.2, 0.35)</code></dd>


<dt><code>prob</code></dt>
<dd>required target toxicity probability (e.g. <code>0.4</code>)
for reaching sufficient precision</dd>


</dl>

StoppingTargetProb-class: Stop based on probability of target tox interval

Description

Arguments

Slots

Examples