Recruitment-class

.Recruitment

Recruitment

.DefaultRecruitment

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=crmPack&version=2.1.0" alt="[Experimental]"></a>
<code>Recruitment</code> is a virtual class for recruitment criteria, from which all
other specific recruitment criteria classes inherit.
The subclasses are used to specify the maximum number of backfill patients
that can be recruited relative to the main trial cohort size.

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
Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

Daniel Sabanés Bové

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 

Recruitment-class function

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
<code>Recruitment</code> is a virtual class for recruitment criteria, from which all
other specific recruitment criteria classes inherit.
The subclasses are used to specify the maximum number of backfill patients
that can be recruited relative to the main trial cohort size.

Recruitment — Recruitment-class

<code>Recruitment</code>

Recruitment-class: `Recruitment`

Description

Usage

Arguments

See Also