Course Training Material /
Synthesis Statistics for Ecology and Evolution
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Description: This course will train students in statistical approaches to synthesizing the highly structured, multi-sourced datasets that typify EEE research, including data collation, integration, analysis, and visualization, with a focus on synthetic metrics, hierarchical linear modeling, structural equation models, meta-analyses, model averaging and information-theoretic approaches. Students will develop skills in R programming, collaborative research, reproducible workflows, data analysis, and communication.
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