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Analysis of mixtures of drugs/chemicals along a fixed-ratio ray without single-chemical data to support an additivity model.
- Source :
- Journal of Agricultural, Biological & Environmental Statistics (JABES); Dec2004, Vol. 9 Issue 4, p500-514, 15p
- Publication Year :
- 2004
-
Abstract
- This article presents and illustrates an approach to designing and analyzing studies involving mixtures/combinations of drugs or chemicals along fixed-ratio rays of the drugs or chemicals for generalized linear models. When interest can be restricted to a specific ray, we consider fixed-ratio ray designs to reduce the amount of experimental effort. When a ray design is used, we have shown that the hypothesis of additivity can be rejected when higher order polynomial terms are required in the total dose-response model. Thus, it is important that we have precise parameter estimates for these higher order polynomial terms in the linear predictor. We have developed methodology for finding a D <subscript> s </subscript>-optimal design based on this subset of the terms in the linear predictor. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10857117
- Volume :
- 9
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Agricultural, Biological & Environmental Statistics (JABES)
- Publication Type :
- Academic Journal
- Accession number :
- 49896762
- Full Text :
- https://doi.org/10.1198/108571104X16312