dose-class

An S4 class to present the next recommended dose level in an ongoing trial.

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

dose-class function

<dl class="dl-horizontal">
<dt><code>N</code></dt><dd>The total number of enrolled patients.</dd></dl><dt><code>y</code></dt><dd>The toxicity outcome of each patient.</dd><dt><code>AUCs</code></dt><dd>A vector with the computed AUC values of each patient.</dd><dt><code>doses</code></dt><dd>The doses levels of the drug.</dd><dt><code>x</code></dt><dd>A vector of dose levels assigned to patients in the trial.</dd><dt><code>theta</code></dt><dd>The toxicity (probability) target.</dd><dt><code>options</code></dt><dd>The Stan model's options.</dd><dt><code>newDose</code></dt><dd>The next recommended dose level.</dd><dt><code>pstim</code></dt><dd>The estimated mean probabilities of toxicity.</dd><dt><code>pstimQ1</code></dt><dd>The 1st quartile of estimated probability of toxicity.</dd><dt><code>pstimQ3</code></dt><dd>The 3rd quartile of estimated probability of toxicity.</dd><dt><code>parameters</code></dt><dd>The Stan model's estimated parameters.</dd><dt><code>model</code></dt><dd>A character string to specify the working model used in the method.</dd>

dose-class: An S4 class to present the next recommended dose level in an ongoing trial.

Description

Arguments

Slots