We will cover a broad sample of statistical topics relevant to ecologists; the intent is to provide an introduction enabling student to intelligently follow a seminar or scientific paper utilizing these methods. Depending on the needs and interests of the students we will enable students to conduct analyses on their own for a subset of topics. Across all topics we will emphasize modern methods of model selection/multi-model inference and relevant study design questions. Topics will include generalized linear and additive models, mixed models, and survival analysis. We will use the software package R. Each student will present a data analysis problem of their choice, implement an ecological analysis, and prepare a written paper summarizing the analysis and results.
If you are wondering if this course is right for you, do these exercises
Statement on Diversity
I want our classroom to be a safe and inclusive place for all. Every individual is valued, has the capability to succeed and has something to offer the class. While our class may only be a temporary solace from the fear, suffering or depression you may be facing in your day as a result of racism, homophobia, transphobia, sexism, legal/immigration status, political belief, or any other discrimination, know that I am always here for you. My door is always open.
Setup
Before the first week of class, you need to install some software on your computer. If you want some help, watch these videos
Module 1
- Week 1 Linear Model Review I
- Week 2 More on Linear Models
- Week 3 Model Selection
- Week 4 Multi-model inference
Module 2
- Week 5 Generalized Linear Models
- Week 6 Generalized Additive Models
- Week 7 No Class Dr. Tyre away
- Week 8 Deciding what to do
Module 3
- Week 9 FALL BREAK! No class
- Week 10 Mixing it up I
- Week 11 Mixing it up II
- Week 12 Confidence Intervals on (g)lmms
- Week 13 Non-linear Models I
- Week 14 THANKSGIVING WEEK! No Class.
