Implementation of maximin efficient designs in dose-finding studies
2015 (English)In: Pharmaceutical statistics, ISSN 1539-1604, E-ISSN 1539-1612, Vol. 14, no 1, 63-73 p.Article in journal (Refereed) Published
This paper considers the maximin approach for designing clinical studies. A maximin efficient design maximizes the smallest efficiency when compared with a standard design, as the parameters vary in a specified subset of the parameter space. To specify this subset of parameters in a real situation, a four-step procedure using elicitation based on expert opinions is proposed. Further, we describe why and how we extend the initially chosen subset of parameters to a much larger set in our procedure. By this procedure, the maximin approach becomes feasible for dose-finding studies. Maximin efficient designs have shown to be numerically difficult to construct. However, a new algorithm, the H-algorithm, considerably simplifies the construction of these designs.We exemplify the maximin efficient approach by considering a sigmoid Emax model describing a dose–response relationship and compare inferential precision with that obtained when using a uniform design. The design obtained is shown to be at least 15% more efficient than the uniform design.
Place, publisher, year, edition, pages
2015. Vol. 14, no 1, 63-73 p.
clinical study, dose–response model, extension of parameter set, H-algorithm, maximin efficient design, optimal design
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:su:diva-110796DOI: 10.1002/pst.1660ISI: 000348520200009OAI: oai:DiVA.org:su-110796DiVA: diva2:772888
FunderSwedish Research Council