ONLINE COURSE: GENERALIZED LINEAR, ADDITIVE, & MIXED MODELS

[jeff.stetz]

COURSE DESCRIPTION - This course provides you with the ability to analyze a wide variety of ecological data in R, including counts, proportions, and continuous measurements, such as length and weight. Much of the course is concerned with fitting generalized linear models (GLMs), as these are a basic requirement for modern quantitative ecology and wildlife management. We cover Poisson and binomial models in detail, and extensions of these when the data are overdispersed and/or zero-inflated. We also cover the use of generalized additive models (GAMs) to fit flexible, non-linear curves to model the relationship between a response variable and a numerical predictor, such as distance or depth. We discuss model-checking and residual diagnostics, to see how well our model fits the data, and model comparison using AIC in order to see which terms should be included. Repeated measurements data, in which the response variable is measured at several points in time, are also considered in detail. We explain the distinction between fixed and random effects and show how to fit models that involve random effects.
This is a 1-credit equivalent academic course (16 contact hrs + additional work) where you learn at your own pace over 3 months.

DATES
March 3 - May 25, 2025

COST
Early bird ends February 2 - save $75!
No instructor support options start at $375 professional / $275 student
Instructor support options start at $525 professional / $425 student

LEARN MORE & REGISTER
https://www.centerforwildlifestudies.or ... ecomodel-r

CWS also offers a professional certificate in Applied Quantitative Ecology.

All courses in this program are graduate level and are designed for full-time researchers, graduate students, environmental consultants, conservation specialists, and resource management practitioners. Taught by leading experts in their fields, participants will learn job-ready skills, including how to properly design field studies and controlled experiments, organize and visualize data, and become proficient in a variety of statistical analyses and modeling techniques to answer important environmental questions.

To learn more and apply, please visit: https://www.centerforwildlifestudies.or ... ve-ecology

CENTER FOR WILDLIFE STUDIES is a 501(c)(3) non-profit organization whose global mission is to provide accessible environmental education and promote wildlife conservation through science.