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The best model was selected using model selection procedure (AICc).
We used a stepwise model selection procedure to select the multiple linear regression models with the smallest Akaike's Information Criterion AICCriterion AIC
Variables were selected for entry in the model selection procedure either because of univariate p<0.1 or for biological plausibility.
We would expect our model selection procedure to be robust enough to select the corresponding amino acid matrix despite the variation in amino acid frequencies.
Given the breadth of selected models and their effect on downstream inference, we recommend a full model selection procedure for more detailed evolutionary studies.
20 21 We thus selected a set of factors associated with subsequent MV using a stepwise model selection procedure among potential predictors.
The model selection procedure consists of several steps.
The model selection procedure is carried out to ascertain the best network architecture in terms of predictive accuracy.
This leads to a stepwise model selection procedure that deploys a combination of different model selection criteria.
Then, we applied the model selection procedure based on AICc to each of the two sets.
To identify markers associated with the phenotype in a genome-wide scan a 2-step model selection procedure was followed.
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system selection procedure
model selection method
sample selection procedure
model determination procedure
model selection proceeding
model selection processes
model monitoring procedure
model calculation procedure
model building procedure
model simplification procedure
model selection strategy
model reduction procedure
model submission procedure
model selection accuracy
model selection bias
model estimation procedure
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