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c-Optimal Designs for the Bivariate Emax Model
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2013 (English)In: mODa 10 – Advances in Model-Oriented Design and Analysis: Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013 / [ed] Dariusz Ucinski, Anthony C. Atkinson, Maciej Patan, Springer, 2013, 153-161 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores c-optimal design problems for non-linear, multi-response models. A General Equivalence Theorem (GET) is provided and we discuss the influence from model and (co)variance parameters on the designs. Special focus is on a bivariate dose response model, one response being a primary efficacy variable and the other a primary safety variable. The aim is to construct designs that are optimal for estimating the dose that gives the best possible combination of effects and side-effects.

Place, publisher, year, edition, pages
Springer, 2013. 153-161 p.
Series
Contributions to Statistics, ISSN 1431-1968 ; 2013
Keyword [en]
c-optimal designs, dose-finding, efficacy and safety, Bivariate Emax
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-89781DOI: 10.1007/978-3-319-00218-7_18ISBN: 978-3-319-00217-0 (print)ISBN: 978-3-319-00218-7 (print)OAI: oai:DiVA.org:su-89781DiVA: diva2:620517
Conference
mODa 10, 10th International Workshop in Model-Oriented Design and Analysis, Łagów Lubuski, Poland, June 10–14, 2013
Available from: 2013-05-08 Created: 2013-05-08 Last updated: 2013-05-23Bibliographically approved

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