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  • Students will cover topics including experimental design, dealing with multiple comparisons, different types of regression, advanced ANOVA designs, ANCOVA, MANOVA, principle component analysis, discriminant function analysis, resampling methods, model selection in a maximum likelihood framework, Bayesian inference, and a range of phylogenetic statistics.
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