dose_finding_fit-class

dose_finding_fit

Class of dose-finding model fit by trialr using Stan.

A collection of clinical trial designs and methods, implemented in
'rstan' and R, including: the Continual Reassessment Method by O'Quigley et
al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004)
<doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of
Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the
Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and
more. We provide functions to aid model-fitting and analysis.
The 'rstan' implementations may also serve as a cookbook to anyone looking
to extend or embellish these models. We hope that this package encourages
the use of Bayesian methods in clinical trials. There is a preponderance of
early phase trial designs because this is where Bayesian methods are used
most. If there is a method you would like implemented, please get in touch.

Kristian Brock

trialr

Clinical Trial Designs in 'rstan'

Trustees of Columbia University

dose_finding_fit-class function

<dl><dt>dose_indices</dt>
<dd>A vector of integers representing the dose-levels under
consideration.</dd>
<dt>num_patients</dt>
<dd>Integer, the number of patients analysed.</dd>
<dt>doses</dt>
<dd>vector of integers representing the dose given to the patients.</dd>
<dt>tox</dt>
<dd>vector of integers representing the toxicity status of the
patients.</dd>
<dt>prob_tox</dt>
<dd>The posterior mean probabilities of toxicity at doses 1:n;
a vector of numbers between 0 and 1.</dd>
<dt>median_prob_tox</dt>
<dd>The posterior median probabilities of toxicity at
doses 1:n; a vector of numbers between 0 and 1.</dd>
<dt>recommended_dose</dt>
<dd>An integer representing the dose-level that is
recommended for the next patient or cohort.</dd>
<dt>dat</dt>
<dd>Object <code>crm_params</code> containing data passed to
<code>sampling</code>.</dd>
<dt>fit</dt>
<dd>An object of class <code>stanfit</code>,
containing the posterior samples.</dd></dl>

Arguments

Class of dose-finding model fit by trialr using Stan. — dose_finding_fit-class

<dl>

<dt>dose_indices</dt>
<dd>A vector of integers representing the dose-levels under
consideration.</dd>


<dt>num_patients</dt>
<dd>Integer, the number of patients analysed.</dd>


<dt>doses</dt>
<dd>vector of integers representing the dose given to the patients.</dd>


<dt>tox</dt>
<dd>vector of integers representing the toxicity status of the
patients.</dd>


<dt>prob_tox</dt>
<dd>The posterior mean probabilities of toxicity at doses 1:n;
a vector of numbers between 0 and 1.</dd>


<dt>median_prob_tox</dt>
<dd>The posterior median probabilities of toxicity at
doses 1:n; a vector of numbers between 0 and 1.</dd>


<dt>recommended_dose</dt>
<dd>An integer representing the dose-level that is
recommended for the next patient or cohort.</dd>


<dt>dat</dt>
<dd>Object <code>crm_params</code> containing data passed to
<code>sampling</code>.</dd>


<dt>fit</dt>
<dd>An object of class <code>stanfit</code>,
containing the posterior samples.</dd>

</dl>

dose_finding_fit-class: Class of dose-finding model fit by trialr using Stan.

Description

Usage

Arguments

See Also