get_empiric_crm_skeleton_weights

matrix with one skeleton per row, so that the number of
columns is the number of doses under investigation.

skeletons

integer vector of number of events at doses

events_at_dose

integer vector of number of patients at doses

n_at_dose

vector of prior model weights. Length should be same as number
of rows in <code>skeletons</code>. Default is equal weighting.

prior

Get posterior model weights for several empiric CRM skeletons, assuming a
normal prior on the beta model parameter

Methods for working with dose-finding clinical trials. We provide
implementations of many dose-finding clinical trial designs, including the
continual reassessment method (CRM) by O'Quigley et al. (1990)
<doi:10.2307/2531628>, the toxicity probability interval (TPI) design by Ji
et al. (2007) <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design
by Ji et al. (2010) <doi:10.1177/1740774510382799>, the Bayesian optimal
interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, EffTox
by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the design of
Wages & Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3
described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. All designs
are implemented with a common interface. We also offer optional additional
classes to tailor the behaviour of all designs, including avoiding skipping
doses, stopping after n patients have been treated at the recommended dose,
stopping when a toxicity condition is met, or demanding that n patients are
treated before stopping is allowed. By daisy-chaining together these classes
using the pipe operator from 'magrittr', it is simple to tailor the
behaviour of a dose-finding design so it behaves how the trialist wants.
Having provided a flexible interface for specifying designs, we then provide
functions to run simulations and calculate dose-paths for future cohorts of
patients.

Kristian Brock

escalation

Modular Approach to Dose Finding Clinical Trials

get_empiric_crm_skeleton_weights function

<dl><dt>skeletons</dt>
<dd>matrix with one skeleton per row, so that the number of
columns is the number of doses under investigation.</dd>
<dt>events_at_dose</dt>
<dd>integer vector of number of events at doses</dd>
<dt>n_at_dose</dt>
<dd>integer vector of number of patients at doses</dd>
<dt>prior</dt>
<dd>vector of prior model weights. Length should be same as number
of rows in <code>skeletons</code>. Default is equal weighting.</dd></dl>

Arguments

Get posterior model weights for several empiric CRM skeletons. — get_empiric_crm_skeleton_weights

<dl>

<dt>skeletons</dt>
<dd>matrix with one skeleton per row, so that the number of
columns is the number of doses under investigation.</dd>


<dt>events_at_dose</dt>
<dd>integer vector of number of events at doses</dd>


<dt>n_at_dose</dt>
<dd>integer vector of number of patients at doses</dd>


<dt>prior</dt>
<dd>vector of prior model weights. Length should be same as number
of rows in <code>skeletons</code>. Default is equal weighting.</dd>

</dl>

get_empiric_crm_skeleton_weights: Get posterior model weights for several empiric CRM skeletons.

Description

Usage

Value

Arguments

Examples