Course Training Material  /

Synthesis Statistics for Ecology and Evolution

Affiliated institutions: University of British Columbia

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

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.

Wiki

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...

Files

Loading files...

Citation

Components

No components to display.

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.