Published in

Wiley, Journal of the Royal Statistical Society: Series C, 1(62), p. 115-133, 2012

DOI: 10.1111/j.1467-9876.2012.01054.x

Links

Tools

Export citation

Search in Google Scholar

General classes of multiple binary regression models in dose finding problems for combination therapies

Journal article published in 2012 by Mauro Gasparini ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

Summary The dose finding problem for single compounds has been generalized to combination therapies and several binary regression models have been proposed in the literature. We propose general tools to evaluate them, in particular dose-free parameterizations of the risks of toxicity and risk ratio functions and plots. New classes of risk functions are also proposed. They generate low dimensional parametric risk functions which are made available to the researcher and commented on for their clinical relevance.