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DOF shows the total number of model terms, including intercept minus one while mean square estimates the model variance, calculated by the model sum of squares divided by model degrees of freedom.
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All model terms included were statistically significant (p<0.0001), but additional terms were not (p>0.05).
Other model terms included breed, sire, year of birth, age in years, age at last lambing and genotype as described (Appendix S1).
Model terms included in each model mirrored that described above for gonopodial distal-tip shape (i.e., three covariates to control for multivariate allometry, five major terms of interest, and population as a random effect).
Again in this model, interaction terms included were not significant.
The residual correlation observed in the SR model hints that there are additional model terms not included.
The statistical significance of interaction terms can be determined by refitting the logistic regression model, with interaction terms included.
Several simplified nonlinear models with partial nonlinear terms included are considered.
The generalized additive model terms, although very similar, include a correction for autocorrelation in the time series.
A simulation model is presented, including terms of adsorption, diffusion and mass transfer.
We considered the benefits to our model of including terms for sex, age, suspected liver disease and ethanol intake.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com