Abstract
We introduce a framework of dose-response modeling for the evaluation of drug combinations. We focus on adaptive techniques in dose-finding studies when several endpoints can be observed simultaneously on each subject. This framework may fit well for clinical trials and we discuss its algorithmization. The generalized bivariate probit model is discussed in particular. Necessary conditions for plausible behavior of drug combinations are given from the theoretical stochastic perspective.
Subject classification codes:
Acknowledgments
We acknowledge the support of the Editors and the informative and insightful suggestions of the Referees. Milan Stehlík acknowledges ANID Chile COVBIO0003. We acknowledge “personal communication” to Madeline Bauer, especially for giving an original idea to use tessellations and the Nelder Mead method. This applies to every place we mention [6] and [7].
Notes
1 E.g.