DualSimulationsSummary-class

.DualSimulationsSummary

In addition to the slots in the parent class
<code>SimulationsSummary</code>, it contains two slots for the
biomarker model fit information.

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

DualSimulationsSummary-class function

<dl>
<dt><code>biomarkerFitAtDoseMostSelected</code></dt>
<dd>fitted biomarker level at dose most often selected</dd></dl>
<dt><code>meanBiomarkerFit</code></dt>
<dd>list with the average, lower (2.5
quantiles of the mean fitted biomarker level at each dose level</dd>

Slots

Class for the summary of dual-endpoint simulations output — DualSimulationsSummary-class

<dl>
<dt><code>biomarkerFitAtDoseMostSelected</code></dt>
<dd>fitted biomarker level at dose most often selected</dd>


<dt><code>meanBiomarkerFit</code></dt>
<dd>list with the average, lower (2.5
quantiles of the mean fitted biomarker level at each dose level</dd>


</dl>

DualSimulationsSummary-class: Class for the summary of dual-endpoint simulations output

Description

Arguments

Slots

Details