scen-class

An S4 class to represent a simulated scenarios.

Statistical methods involving PK measures are provided, in the dose allocation process during a Phase I clinical trials. These methods, proposed by Ursino et al, (2017) <doi:10.1002/bimj.201600084>, enter pharmacokinetics (PK) in the dose finding designs in different ways, including covariates models, dependent variable or hierarchical models. This package provides functions to generate data from several scenarios and functions to run simulations which their objective is to determine the maximum tolerated dose (MTD).

Artemis Toumazi

dfpk

Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for
Phase I Clinical Trials

Sarah Zohar

Moreno Ursino

Trustees of Columbia University

French National Institute of Health and Medical Research

scen-class function

<dl class="dl-horizontal">
<dt><code>PKparameters</code></dt><dd>Subject's pharmacokinetic's (PK) parameters from the population distributions defined by the population mean.</dd></dl><dt><code>nPK</code></dt><dd>The length of the time points.</dd><dt><code>time</code></dt><dd>The sampling time points.</dd><dt><code>idtr</code></dt><dd>The id number of the corresponding simulated dataset.</dd><dt><code>N</code></dt><dd>The total sample size per trial.</dd><dt><code>doses</code></dt><dd>A vector with the doses panel.</dd><dt><code>preal</code></dt><dd>The prior toxicity probabilities.</dd><dt><code>limitTox</code></dt><dd>The toxicity threshold.</dd><dt><code>omegaIIV</code></dt><dd>The inter-individual variability for the clearance and the volume of distribution.</dd><dt><code>omegaAlpha</code></dt><dd>The patient's sensitivity parameter.</dd><dt><code>conc</code></dt><dd>The concentration computed at the PK population values.</dd><dt><code>concPred</code></dt><dd>The concentration values with proportional errors for each patient at each dose.</dd><dt><code>tox</code></dt><dd>The toxicity outcome.</dd><dt><code>tab</code></dt><dd>A summary matrix containing the sampling time points at the first row followed by concPred, parameters and alphaAUC. It used by the simulation function nsim.</dd><dt><code>parameters</code></dt><dd>The simulated PK parameters of each patient.</dd><dt><code>alphaAUC</code></dt><dd>A vector with the computed AUC values of each patient.</dd>

Slots

An S4 class to represent a simulated scenarios. — scen-class

An S4 class to represent a simulated scenarios.

scen-class: An S4 class to represent a simulated scenarios.

Description

Arguments

Slots