Statistical Models: Linking Data to Theory - Class 9

Explore a comprehensive lecture on statistical models and their application in quantitative ecology. Delve into generalized linear models, focusing on binary data analysis, logistic regression, and Poisson distribution. Learn how to break assumptions and link data to theory through practical examples. Gain insights from expert lecturers in the field, including Paulo Inacio Prado, Diogo Melo, Andrea Sanchez-Tapia, and Paula Lemos Costa. Enhance your understanding of statistical techniques used in ecological research and their importance in interpreting complex datasets. Note that this lecture is part of the Serrapilheira/ICTP-SAIFR Training Program in Quantitative Ecology and is designed for an in-person format.

Introduction
Recap
Breaking assumptions
Generalized linear models
Binary data
Bernoulli
Legit Logic
Logistic Regression
Logistic Curve
Example
Generalized Poisson Distribution
Other GLMs
Data
Time