About this document
Evaluating Regression Coefficients in GLMs by María Escobar is a document available to read on EtoBox.
This document discusses the comparison between generalized linear models (GLMs) and traditional least-squares linear models (LMs) for analyzing non-Gaussian count data. It highlights that while GLMs may offer slight advantages in statistical power, they are prone to type I errors when mis-specified, whereas LMs provide robust tests across various conditions. The findings suggest that transforming data and applying LMs remains a valuable approach in ecological and evolutionary statistics.
- Author
- María Escobar
- Language
- EN