CohortSizeDLT-class

.CohortSizeDLT

Cohort size based on number of DLTs

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

CohortSizeDLT-class function

<dl>
<dt><code>DLTintervals</code></dt>
<dd>an integer vector with the left bounds of the relevant
DLT intervals</dd></dl>
<dt><code>cohortSize</code></dt>
<dd>an integer vector of the same length with the cohort
sizes in the <code>DLTintervals</code></dd>

Slots

Cohort size based on number of DLTs — CohortSizeDLT-class

<dl>
<dt><code>DLTintervals</code></dt>
<dd>an integer vector with the left bounds of the relevant
DLT intervals</dd>


<dt><code>cohortSize</code></dt>
<dd>an integer vector of the same length with the cohort
sizes in the <code>DLTintervals</code></dd>


</dl>

CohortSizeDLT-class: Cohort size based on number of DLTs

Description

Arguments

Slots

Examples