augbin_fit

Class used by trialr to fit Wason &amp; Seaman's Augmented Binary method.

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

augbin_fit function

<dl><dt>num_patients</dt>
<dd>Integer, the number of patients analysed.</dd>
<dt>tumour_size</dt>
<dd>matrix-like object containing tumour size measures, with
rows representing patients and columns representing chronological
standardised assessment points. Column one is baseline.</dd>
<dt>non_shrinkage_failure</dt>
<dd>matrix-like object containing logical indicators
of non-shrinkage failure, with rows representing patients and columns
representing chronological standardised assessment points.</dd>
<dt>fit</dt>
<dd>An object of class <code>stanfit</code>,
containing the posterior samples.</dd></dl>

Arguments

Class used by trialr to fit Wason &amp; Seaman's Augmented Binary method. — augbin_fit

<dl>

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


<dt>tumour_size</dt>
<dd>matrix-like object containing tumour size measures, with
rows representing patients and columns representing chronological
standardised assessment points. Column one is baseline.</dd>


<dt>non_shrinkage_failure</dt>
<dd>matrix-like object containing logical indicators
of non-shrinkage failure, with rows representing patients and columns
representing chronological standardised assessment points.</dd>


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

</dl>

augbin_fit: Class used by trialr to fit Wason & Seaman's Augmented Binary method.

Description

Usage

Arguments

References

See Also