DualSimulations-class

.DualSimulations

This class captures the trial simulations from dual-endpoint model based
designs. In comparison to the parent class <code>Simulations</code>,
it contains additional slots to capture the dose-biomarker fits, and the
sigma2W and rho estimates.

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

DualSimulations-class function

<dl>
<dt><code>rhoEst</code></dt>
<dd>the vector of final posterior median rho estimates</dd></dl>
<dt><code>sigma2West</code></dt>
<dd>the vector of final posterior median sigma2W estimates</dd>
<dt><code>fitBiomarker</code></dt>
<dd>list with the final dose-biomarker curve fits</dd>

Slots

Class for the simulations output from dual-endpoint model based designs — DualSimulations-class

<dl>
<dt><code>rhoEst</code></dt>
<dd>the vector of final posterior median rho estimates</dd>


<dt><code>sigma2West</code></dt>
<dd>the vector of final posterior median sigma2W estimates</dd>


<dt><code>fitBiomarker</code></dt>
<dd>list with the final dose-biomarker curve fits</dd>


</dl>

DualSimulations-class: Class for the simulations output from dual-endpoint model based designs

Description

Arguments

Slots