dose-class

An S4 class to perform parameter estimation at each step during a dose-finding trial.

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

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>A binary vector of toxicity outcomes from previous patients; 1 indicates a toxicity, 0 otherwise.</dd><dt><code>AUCs</code></dt><dd>A vector with the computed AUC values of each patient.</dd><dt><code>doses</code></dt><dd>A vector with the doses panel.</dd><dt><code>x</code></dt><dd>A vector with the dose level assigned to the patients.</dd><dt><code>theta</code></dt><dd>The toxicity threshold.</dd><dt><code>options</code></dt><dd>a list of Stan model's options.</dd><dt><code>newDose</code></dt><dd>The next recommended dose (RD) level; equals to 0 if the trial has stopped, according to the stopping rules.</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 selected dose-finding model. See for details <code><a rd-options="" href="/link/dtox?package=dfpk&version=3.5.1" data-mini-rdoc="dfpk::dtox">dtox</a></code>, <code><a rd-options="" href="/link/pkcov?package=dfpk&version=3.5.1" data-mini-rdoc="dfpk::pkcov">pkcov</a></code>, <code><a rd-options="" href="/link/pkcrm?package=dfpk&version=3.5.1" data-mini-rdoc="dfpk::pkcrm">pkcrm</a></code>, <code><a rd-options="" href="/link/pktox?package=dfpk&version=3.5.1" data-mini-rdoc="dfpk::pktox">pktox</a></code>, <code><a rd-options="" href="/link/pkpop?package=dfpk&version=3.5.1" data-mini-rdoc="dfpk::pkpop">pkpop</a></code>, <code><a rd-options="" href="/link/pklogit?package=dfpk&version=3.5.1" data-mini-rdoc="dfpk::pklogit">pklogit</a></code>.</dd>

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An S4 class to perform parameter estimation at each step during a dose-finding trial. — dose-class

An S4 class to perform parameter estimation at each step during a dose-finding trial.

dose-class: An S4 class to perform parameter estimation at each step during a dose-finding trial.

Description

Arguments

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