Optimal Biological Dose and Phase I/II Trials
Haitao Pan () and
Ying Yuan ()
Additional contact information
Haitao Pan: St. Jude Children’s Research Hospital, Department of Biostatistics
Ying Yuan: The University of Texas MD Anderson Cancer Center, Department of Biostatistics
Chapter Chapter 3 in Bayesian Adaptive Design for Immunotherapy and Targeted Therapy, 2023, pp 47-52 from Springer
Abstract:
Abstract The conventional phase I trial design paradigm is based on the more-is-better assumption, which may not be true for immunotherapies and targeted therapies. For these novel therapies, efficacy may plateau or even decrease at high doses, and dose limiting toxicity may be rare. In this case, it is more appropriate to identify the optimal biological dose (OBD) that optimizes the risk-benefit tradeoff of the treatment, rather than the maximum tolerated dose (MTD). This chapter reviews basic concepts of the OBD and the phase I/II design paradigm to find the OBD.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-8176-0_3
Ordering information: This item can be ordered from
http://www.springer.com/9789811981760
DOI: 10.1007/978-981-19-8176-0_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().