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Interactions between those weather variables and the confounders included in the first stage of the modelling were then investigated.
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Multiple models were then generated using Modeller.
Residuals from these models were then used in subsequent analyses.
Models were then developed to eradicate such biases.
The twenty best CYANA models were then used for final structure calculations in AMBER51.
The models were then ranked by the original-owner percentage.
Logistic regression models were then created to examine these differences.
Models were then rerun and examined again for outliers.
The models were then simplified by deleting non-significant terms.
Two logistic regression models were then estimated.
The 50 selected models were then combined.
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