Decision Criteria During Joint Modelling of Efficacy and Safety With MCP-Mod
Caroline Kellner and 
Lieven Nils Kennes
International Journal of Statistics and Probability, 2021, vol. 10, issue 1, 79
Abstract:
MCP‐Mod has been established as analysis method for investigating the dose‐response (DR) relationship and dose finding in clinical Phase II trials. While most work on MCP-Mod focusses on the efficacy DR relationship, in 2015, Tao, Lin, Pinheiro and Shih (2015) extended MCP-Mod to the joint modelling of efficacy and safety endpoints in “Dose Finding Method in Joint Modeling of Efficacy and Safety Endpoints in Phase II Studies”. Their proposed algorithm defines several decision criteria, which majorly impact results or even terminate the algorithm. This viewpoint investigates the robustness of two of these decision criteria. While the criterion on the relationship between the maximum safety dose and minimum effective dose is reasonable and robust, there exist some advantages applying a more generous criterion to establish proof of concept for safety. Increasing the proposed significance level in establishing proof of concept for the safety DR relationship, helps to identify non-flat safety DR relationships which ultimately improves final estimation of the optimal dose.
Date: 2021
References: Add references at CitEc 
Citations: 
Downloads: (external link)
http://www.ccsenet.org/journal/index.php/ijsp/article/download/0/0/44424/46860 (application/pdf)
http://www.ccsenet.org/journal/index.php/ijsp/article/view/0/44424 (text/html)
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:ibn:ijspjl:v:10:y:2021:i:1:p:79
Access Statistics for this article
More articles in International Journal of Statistics and Probability  from  Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().