Semiparametric dose finding methods: special cases

M. Clertant and J. O’Quigley

Journal of the Royal Statistical Society Series C, 2019, vol. 68, issue 2, 271-288

Abstract: A broad structure for the design and analysis of early phase clinical trials has recently been presented. The approach is described as being semiparametric in that the dose–toxicity function is modelled through a parameter of interest and a nuisance parameter. Although very general, the semiparametric method SPM allows for the possibility of specific calibration. In particular, it is shown that we can obtain identical operating characteristics of more richly parameterized designs such as the continual reassessment method. Here, we consider several other designs that have weaker parameterizations than the continual reassessment method, in particular the cumulative cohort distributions design, the modified toxicity probability interval design, the Bayesian optimal interval design and the keyboard design. We show that all of these designs are included, as special cases, in the semiparametric framework. It becomes immediately apparent how to structure any investigation into the operating characteristics of these designs as well as how to tune any design further with the purpose of improving on these characteristics. Simulations are provided to give added support to these findings.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/rssc.12308

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:bla:jorssc:v:68:y:2019:i:2:p:271-288

Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876

Access Statistics for this article

Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith

More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().