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MinEDfind (version 0.1.3)

A Bayesian Design for Minimum Effective Dosing-Finding Trial

Description

The nonparametric two-stage Bayesian adaptive design is a novel phase II clinical trial design for finding the minimum effective dose (MinED). This design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. It is used to design single-agent trials.

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Version

Install

install.packages('MinEDfind')

Monthly Downloads

180

Version

0.1.3

License

GPL-2

Maintainer

Chia-Wei Hsu

Last Published

May 5th, 2020

Functions in MinEDfind (0.1.3)

select.MinED

Select the minimum effective dose (MinED) for single agent trials
get.OC.MinED

Generate operating characteristics for finding the minimum effective dose (MinED)
next.MinED

Determine the dose for the next cohort of new patients for single-agent trials that aim to find a minimum effective dose (MinED)
plot.MinED

Plot the simulation results for nonparametric two-stage Bayesian adaptive designs