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We used a backward regression approach in multivariate set up to eliminate non-significant (p > 0.05) predictors from the model.
Look at the set up of Universal Studios Orlando.
The set up of their campus?
Finally, a critical discussion, giving some practical advices and pointing out the most common issues involved in multivariate set-up of CE methods, is provided.
Hemoglobin did not add significantly to the prediction of superoxide dismutase in a multivariate set up (P = 0.229).
Setting up of street food kitchens.
Setting up of sterile drapes.
The multivariate model is set up with the NP-Batt score as the outcome.
Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses the geometry of multivariate data clouds.
Set up ahead of time.
Set up some of the other buildings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com