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Flickering sine gratings were presented at each of two orthogonal orientations in a block design (multivariate experiment) or an event-related design (univariate experiment).
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Sensor composition and measurement conditions were optimized using a multivariate experiment design.
The multivariate experiment involved the use of Minitab® statistical software for the generation of a 27 4 P B design and CCD matrices.
We first argue that such a model must be developed by performing a multivariate experiment in closed-loop, which is in stark contrast with the current industrial practice of single-input multi-output open-loop experiments.
In this and other multivariate experiments we found several interactions that would not be apparent from univariate experiments.
Minitab statistical software was used for these multivariate experiments for the generation of 24-1 design and CCD matrices.
The multivariate experiments used to relate LBO to geometry were also further analyzed to establish the main hardware parameters affecting LBO.
Motivation: Multivariate experiments applied to mammalian cells often produce lists of proteins/genes altered under treatment versus control conditions.
Multivariate experiments (e.g., genotype and treatment) were analyzed using two-way ANOVA with Tukey's post hoc analysis.
Prior knowledge, proactive team-based risk assessments, multivariate experiments, use of PATs (discussed in later subsection), and continual improvements are used to develop process understanding to a level necessary to establish a design space for a drug product or drug substance.
AOR —multivariate adjusted OR (AOR).
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