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We did the same in step 3 to remove the effect of forest attributes by fitting models with all variables (four environmental factors and 12 forest attributes) as predictors, and using the residuals to calculate the Pearson correlation between ecosystem services.
Wald tests were used to explore linear trends, by fitting models with the variable as a score.
Most of these studies have assessed the strength and nature of confounding by fitting models with and without ozone.
By fitting models with and without a dynamic seasonal variation component, we were able to assess whether the seasonal variation was in fact dynamic in terms of AIC.
Tests of HR linear trend for the different frequencies of coffee consumption were performed by fitting models with the orders of each consumption category as a continuous variable.
Statistical interactions between the exposure variables and all of the covariates were assessed by fitting models with cross-product terms and testing their significance using a Wald test.
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We address these questions by fitting models of cultural evolution to learned bird song.
Random pseudo-absences should yield the worst fitting models with the lowest predictive power, and models that include uninformative predictors may even be supported by these data.
Log Bayes factors (BF) are calculated by comparing the best fitting model (with 3 parameters) against all the others.
Sequence data were partitioned by gene region, this partitioning strategy having been identified as the best fitting model with Bayes factors [ 23].
SD=standard deviation; IQR=interquartile range; HDL=high density lipoprotein; LDL=low density lipoprotein; BP=blood pressure *P values were obtained by fitting regression models with risk factors as the outcome and performing Wald tests on model parameters (logistic regression was used for binary variables and linear regression for continuous variables).
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