summary,GeneralSimulations-method

summary-GeneralSimulations

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Summarize simulations relative to a given true dose-toxicity curve.

Implements a wide range of dose escalation
designs. The focus is on model-based 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. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy
to setup a new design with custom 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.
Further details are presented in
Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

Wai Yin Yeung

Burak Kuersad Guenhan

Giuseppe Palermo

Thomas Jaki

Jiawen Zhu

Ziwei Liao

Dimitris Kontos

Marlene Schulte-Goebel

Doug Kelkhoff

Oliver Boix

Robert Adams

Clara Beck

John Kirkpatrick

Wojciech Wójciak

Guanya Peng

Prerana Chandratre

F. Hoffmann-La Roche AG 

Merck Healthcare KGaA 

Bayer AG 

RPACT GmbH 

summary,GeneralSimulations-method function

<dl><dt>object</dt>
<dd>(<code>GeneralSimulations</code>) the object we want to summarize.</dd>
<dt>truth</dt>
<dd>(<code>function</code>) a function which takes as input a dose (vector)
and returns the true probability (vector) for toxicity.</dd>
<dt>target</dt>
<dd>(<code>numeric</code>) the target toxicity interval (default: 20-35%)
used for the computations.</dd>
<dt>...</dt>
<dd>additional arguments can be supplied here for <code>truth</code>.</dd></dl>

Arguments

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Summarize simulations relative to a given true dose-toxicity curve.

Summarize the GeneralSimulations, Relative to a Given Truth — summary,GeneralSimulations-method

<dl>

<dt>object</dt>
<dd>(<code>GeneralSimulations</code>) the object we want to summarize.</dd>


<dt>truth</dt>
<dd>(<code>function</code>) a function which takes as input a dose (vector)
and returns the true probability (vector) for toxicity.</dd>


<dt>target</dt>
<dd>(<code>numeric</code>) the target toxicity interval (default: 20-35%)
used for the computations.</dd>


<dt>...</dt>
<dd>additional arguments can be supplied here for <code>truth</code>.</dd>

</dl>

Summarize the <code>GeneralSimulations</code>, Relative to a Given Truth

summary,GeneralSimulations-method: Summarize the `GeneralSimulations`, Relative to a Given Truth

Description

Usage

Value

Arguments