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Data were analysed using logistic and Cox regression models, as appropriate.
Continuous variables will be examined with repeated measures analysis of variance and linear mixed models, as appropriate.
Statistical testing was conducted across subgroups of interest using χ tests for categorical variables, t tests for two-group comparisons, or ANOVA models, as appropriate.
Longitudinal data will be analysed using standard models for repeated measures including multivariate mixed effects analysis of variance, random effects and generalized estimating equation (GEE) models, as appropriate.
Effects of Age, Neuter Status, Gender, Breed Group, and Training Status on subscale scores were evaluated with analysis of variance (ANOVA) or covariance (ANCOVA) models, as appropriate.
All tables display the association in such analyses including either a single independent variable ('univariable') or multiple independent variables ('multivariable') in linear or logistic regression models, as appropriate.
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These can all be analyzed using the models and methods described above within the mixed linear or logistic regression modeling framework as appropriate.
†Tests of interaction performed with data for all participants by adding diet group or fifths of dietary fibre intake × sex interaction to model as appropriate.
†Tests of interaction performed with data for all participants by adding a diet group or fifths of dietary fibre intake × age group interaction to model as appropriate.
Data for physical findings reported in each study were combined using Summary Receiver Operating Characteristic (SROC) curves or random effects modeling, as appropriate.
Comparisons between groups for continuous data were done with Students' t test, Wilcoxon test, analysis of variance or use of general linear model, as appropriate.
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