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Although there clearly remains a need for single-chemical toxicology in support of current public, regulatory, and industrial needs, there is also a need to develop mixtures methodologies.
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This demonstrated for the first time that androgen receptor antagonists act in concert in an additive fashion in fish and that existing mixture methodology is effective in predicting the outcome, based on concentration-response data for individual chemicals.
In applying the pattern-mixture methodology, we needed to choose the number of patterns and how they are distributed over the study population.
Specifically, we compared our estimates of the expected difference in cell type proportions between ovarian cases and controls with the results reported in Houseman et al. [ 13]; which consisted of the application of the cell mixture methodology using blood-derived methylation data from n = 131 pretreatment EOC cases and n = 274 controls [ 12].
To examine the predicted differences in the major leukocyte components of whole blood (i.e., B cells, natural killer (NK) cells, CD8+ T lymphocytes, CD4+ T lymphocytes, monocytes, and granulocytes) we utilized the cell mixture methodology of Houseman et al. [ 13].
More importantly, the relationship between cell type and EOC status was highly consistent between both batches of samples within our study population and also with the results reported in a prior publication [ 13], which consisted of the application of the cell mixture methodology to an independent study population of n = 131 pretreatment EOC cases and n = 274 controls [ 12].
The original goal was to review current mixtures assessment methodology.
Furthermore, a mixture design methodology was applied.
In this work, the development of ceramic tile formulations containing kaolin processing and granite sawing wastes was investigated using the statistical design of mixture experiments methodology.
A multi-criteria mixture selection methodology unveils important trade-offs among several important system operating parameters and efficiently highlights optimum operating ranges.
The influence of process parameters on bulk PEO cross-linking degree was first investigated through a mixture design methodology which revealed that the most influent parameters are extrusion temperature and time.
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