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 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

scen-class function

<dl class="dl-horizontal">
<dt><code>PKparameters</code></dt><dd>The subject's PK parameters.</dd></dl><dt><code>nPK</code></dt><dd>The length of time sampling.</dd><dt><code>time</code></dt><dd>The time sampling.</dd><dt><code>idtr</code></dt><dd>The id number of the corresponding simulated dataset.</dd><dt><code>N</code></dt><dd>The total number of patients.</dd><dt><code>doses</code></dt><dd>The doses levels of the drug.</dd><dt><code>preal</code></dt><dd>The real probability of toxicity.</dd><dt><code>limitTox</code></dt><dd>Threshold in the toxicity.</dd><dt><code>omegaIIV</code></dt><dd>A standard deviation of clearance (CL) and volume (V).</dd><dt><code>omegaAlpha</code></dt><dd>A standard deviation omegaAlpha.</dd><dt><code>conc</code></dt><dd>The concentration of the drug (concentration without error).</dd><dt><code>concPred</code></dt><dd>The predicted concentration of the drug (concentration with error).</dd><dt><code>tox</code></dt><dd>The toxicity outcomes.</dd><dt><code>tab</code></dt><dd>The data summary of scenarios' outcomes.</dd><dt><code>parameters</code></dt><dd>The PK parameter's estimations of each patient.</dd><dt><code>alphaAUC</code></dt><dd>AUC with sensitivity parameter.</dd>

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

Description

Arguments

Slots