Course Training Material  /

Synthesis Statistics for Ecology and Evolution

Affiliated institutions: University of British Columbia

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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.


This is the home wiki for: Synthesis Statistics for Ecology and Evolution One of four training modules associated with The Living Data NSERC CREATE Project (described below). The outline for this course is available at this webpage. All four course outlines are linked here: Productivity and Reproducibility in Ecology & Evolution Scientific Data Management in Ecology & Evolution Collaboration in E...


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