Journal article
Flexible, rule-based dose escalation: The cohort-sequence design
Contemporary clinical trials communications, Vol.17, pp.100541-100541
03/2020
DOI: 10.1016/j.conctc.2020.100541
PMCID: PMC7029255
PMID: 32099932
Abstract
Phase I oncology trials seek to acquire preliminary information on the safety of novel treatments. In current practice, most such trials employ rule-based designs that determine whether to escalate the dose using data from the current dose only. The most popular of these, the 3 + 3, is simple and familiar but inflexible and inefficient. We propose a rule-based design that addresses these deficiencies. Our method, which we denote the cohort-sequence design, is defined by a sequence of J increasing cohort sizes n=(n1,…,nJ) and corresponding critical values b=(b1,…,bJ). The idea is to begin with a small cohort size n1 and escalate through the planned doses, increasing the cohort size when we encounter toxicities. By selection of J and a safety threshold tuning parameter θ, one can create a design that will efficiently identify a target toxicity rate, potentially including a built-in dose-expansion cohort. We compared our designs to the 3 + 3 under a range of toxicity scenarios, observing that our approach generally rapidly identifies an MTD without enrolling patients unnecessarily at low doses where both toxicity and response rates are likely to be low. We have implemented the design in the R package cohortsequence.
Details
- Title: Subtitle
- Flexible, rule-based dose escalation: The cohort-sequence design
- Creators
- Shuang Li - Southern Methodist UniversityXian-Jin Xie - University of IowaDaniel F. Heitjan - The University of Texas Southwestern Medical Center
- Resource Type
- Journal article
- Publication Details
- Contemporary clinical trials communications, Vol.17, pp.100541-100541
- DOI
- 10.1016/j.conctc.2020.100541
- PMID
- 32099932
- PMCID
- PMC7029255
- NLM abbreviation
- Contemp Clin Trials Commun
- ISSN
- 2451-8654
- eISSN
- 2451-8654
- Publisher
- Elsevier Inc
- Language
- English
- Date published
- 03/2020
- Academic Unit
- Preventive and Community Dentistry; Biostatistics; Dental Research
- Record Identifier
- 9984367737602771
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