Biostatistics II

Catalog description

This course is designed to introduce students who have successfully completed Graduate Biostatistics I to advanced topics in statistical modeling that are commonly used in ecology and evolutionary biology. Initially, emphasis is placed on extending the general linear model in ways that incorporate random effects (i.e., mixed effect models) and/or allow for non-normal error terms (i.e., generalized linear models). Students will also be introduced to parametric and nonparametric models commonly applied to survival data and information theoretic approaches to model selection and model-based inference. Students will then receive an overview of some of the most commonly used multivariate methods in the life sciences before receiving an introduction to basic flow control and resampling with and without replacement.