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This paper uses the RG-based VSS as our main testing model.
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Samples were analyzed accordingly to a completely randomized design and the main tested effect of model was mPS (n = 11, from 0.46 to 3.50 mm mPS for Cm or n = 10, from 0.11 to 2.98 mm mPS for Bm).
The study includes four main stages such as sampling, testing, modeling and assessment of the model performances.
We find that in the synthetic example our inversion successfully retrieves the main characteristics of the test model and introduces minimal artefacts, even in the presence of significant noise.
Until present, pulmonary and skin models were the main tested experimental designs to assess carbon nanotubes' toxicity.
All variables not initially included were tested for significance in the preliminary main effects model before testing for clinically interesting interactions.
My test model was $23,805.
To get an impression of the impact of pooling diverse trials we tested the main model in all possible combinations of pooling only four of the five trials.
We tested our main model using hand hygiene data from audits 1 through 8 as the outcome variable, and accreditation outcomes, infection control scores, accreditation cycle and peer groups as our explanatory variables.
After developing a multivariable main effects model, we tested for an interaction between sex and prenatal ETS exposure, and between sex and blood lead concentration.
After the main effects were determined by the stepwise procedure, two-way interactions between binary and continuous variables that passed the initial screen (e.g., blood donation versus having children and "meat and vegetable" dietary pattern versus blood donation) were added individually to the main effects model to test their significance.
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