StoppingCohortsNearDose-class

.StoppingCohortsNearDose

Stop based on number of cohorts near to next best dose

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

StoppingCohortsNearDose-class function

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

Slots

Stop based on number of cohorts near to next best dose — StoppingCohortsNearDose-class

<dl>
<dt><code>nCohorts</code></dt>
<dd>number of required cohorts</dd>


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


</dl>

StoppingCohortsNearDose-class: Stop based on number of cohorts near to next best dose

Description

Arguments

Slots

Examples