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Subject: Statistics for Ecology and Conservation Biology (March 9-20, 2020)

Gain in-depth knowledge of regression-based analytical approaches in ecological research, employing R: classical regression models; mixed models; generalized linear models; how to deal with the limitations of real datasets; and conservation-specific approaches. Participants learn how to choose appropriate analyses for different research questions, and about the assumptions underlying each model. Through the lectures and hands-on exercises participants learn how to explore their data, perform a range of analyses, understand fitted models, and clearly explain their results. By the end of the course, participants will be able to conduct sophisticated statistical analyses, critically evaluate statistics-based material in current research literature, and deal with the limitations of real datasets in the context of conservation science.

Location: Smithsonian-Mason School of Conservation, Front Royal, VA, USA

Dates: March 9-20, 2020

To learn more about the course or to apply, go to the course website HERE.

General Information: smconservation.gmu.edu

Smithsonian-Mason School of Conservation <SCBITraining@si.edu>
Thursday, September 19, 2019

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