dosefinding-class: An S4 class to represent a dosefinding results.

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

Description

An S4 class to represent a dosefinding results.

Slots

pid

The patient's ID provided in the study.

N

The total sample size per trial.

time

The sampling time points.

doses

A vector with the doses panel.

conc

The estimated concentration values for each patient at each dose.

p0

The skeleton of CRM for pkcrm; defaults to NULL.

L

The AUC threshold to be set before starting the trial for pkcrm; defaults to NULL.

nchains

The number of chains for the Stan model.

niter

The number of iterations for the Stan model.

nadapt

The number of warmup iterations for the Stan model.

newDose

The next maximum tolerated dose (MTD) if TR=1 otherwise the percentage of MTD selection for each dose level after all trials starting from dose 0; equals to 0 if the trial has stopped before the end, according to the stopping rules.

MTD

A vector containing the next maximum tolerated doses (MTD) of each trial (TR); equals to 0 if the trial has stopped before the end, according to the stopping rules.

MtD

The final next maximum tolerated (MTD) dose after all the trials.

theta

The toxicity target.

doseLevels

A vector of dose levels assigned to patients in the trial.

toxicity

The estimated toxicity outcome.

AUCs

A vector with the computed AUC values of each patient.

TR

The total number of trials to be simulated.

preal

The prior toxicity probabilities.

pstim

The estimated mean probabilities of toxicity.

pstimQ1

The 1st quartile of estimated probability of toxicity.

pstimQ3

The 3rd quartile of estimated probability of toxicity.

model

A character string to specify the selected dose-finding model. See for details dtox, pkcov, pkcrm, pktox, pkpop, pklogit..

seed

The seed of the random number generator that is used at the beginning of each trial.

dfpk documentation built on May 2, 2019, 8:31 a.m.