Investigating dose finding methods and different priors in Bayesian continual reassessment method

Koc T., Cengiz M. A.

KUWAIT JOURNAL OF SCIENCE, vol.47, no.1, pp.22-32, 2020 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 47 Issue: 1
  • Publication Date: 2020
  • Journal Name: KUWAIT JOURNAL OF SCIENCE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Arab World Research Source, zbMATH
  • Page Numbers: pp.22-32
  • Keywords: Bayesian inference, clinical trial, maximum tolerated dose, prior selection, CLINICAL-TRIALS, DESIGN, ESCALATION
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

A well-designed and properly analyzed clinical trial is a powerful tool for the development of new drugs. Clinical trials are studies that explore whether a treatment, drug or device is safe and effective for humans. These studies can show which drug development method works best for certain diseases. The first step in drug discovery (phase I) is very important to determine maximum tolerated dose (MTD).