Impact of different model structure and prior distribution in continual reassessment method


Ulas E., Karaman F. , Koc T.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, vol.49, no.1, pp.95-109, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 49 Issue: 1
  • Publication Date: 2020
  • Doi Number: 10.1080/03610918.2018.1476698
  • Journal Name: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
  • Journal Indexes: Science Citation Index Expanded, Scopus, Academic Search Premier, Applied Science & Technology Source, Business Source Elite, Business Source Premier, CAB Abstracts, Compendex, Computer & Applied Sciences, Veterinary Science Database, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.95-109

Abstract

Clinical trials are the most effective approach for comparing and examining experimental drugs, medical treatments, or clinical interventions on humans. Safety of the potential treatment is the first determined treatment during phase I trials, but it is continuously monitored through all phases. In this study, we introduced a comparative simulation study that has different model structures and prior distributions in the continual reassessment method (CRM). In order to understand the effect of model structures and prior distributions, a real life story and nine scenarios are implemented. Some of the common phase I methods were compared with the CRM where the model structure and prior distribution were different.