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We investigated the scaled Schoenfeld residuals and "dfbetas" from the primary model for violations to the proportional hazards assumption and possible outliers, respectively, but detected no problems.
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Scaled Schoenfield residuals were used to test the final model for violation of the assumption of proportionality over the study time (2000 2009).
Further, we used statistical models that allowed for time to event and we tested our model carefully for violations against the proportionality of hazard assumptions.
We also checked the GTR + Gamma model for potential violations induced by the data using posterior predictive tests implemented in PhyloBayes 3.3 (Lartillot et al. 2009).
All models were checked for violations from the model assumptions.
All regression models were tested for violations of the model assumptions.
Variation in δN that occurred between watersheds or distance of collection from the stream contributed little to total variance and was insignificant in the model (See methods for violations).
We tested the Cox models for possible violations of the proportional hazards assumption.
Another interesting area of future research would be to study robust models for various violations of model assumptions using double hierarchical generalized linear models [ 7, 34].
The likelihood distributions for each model will be assessed for violations and data transformations undertaken, where necessary.
A multilevel model was generated to control for violations of the assumption of independence (multiple rear-seated passengers traveling in the same vehicle) through the use of the GLIMMIX procedure, with the group-level variable VIN number, to adjust for clustering of passengers in vehicles.
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CEO of Professional Science Editing for Scientists @ prosciediting.com