Biological Data Analysis I — Linear Models

Catalog description

A large fraction of common statistical analysis types in the biological sciences can be expressed as a linear model. Teaches students to use linear models to statistically analyze data, and emphasizes the conceptual unity of seemingly disparate analytical techniques. Includes the following analysis types: analysis of variance, analysis of covariance, linear regression, logistic regression, and log linear models. Also addresses new advances in likelihood-based model selection. Additional subjects will be selected by students. Prerequisite(s): BIOL 215 with a minimum grade of B (3.0), or consent from instructor , or enrollment in the Biological Sciences graduate program.