週次 |
日期 |
單元主題 |
Week 1 |
2/25 |
Course overview<br/>
An introduction to R
<br/><br/>
<b>Reading</b><br/>
Johnson (1999) [p-value]
<br/><br/>
<b>Homework</b><br/>
Go through the R introduction (Rintro.pdf).<br/>
<br/>
Assignment 1 (due 3/4 1pm) |
Week 2 |
3/04 |
Questions and Hypotheses<br/>
R intro.
<br/><br/>
Assignment 2 (due 3/10 1pm) |
Week 3 |
3/11 |
Between-individual variation, replication and sampling
<br/><br/>
<b>Reading</b><br/>
Hurlbert (1984) [Pseudoreplication]
<br/><br/>
Assignment 3 (due 3/18 1pm) |
Week 4 |
3/18 |
Experimental designs<br/>
<br/>
Assignment 4 (due 3/25 1pm) |
Week 5 |
3/25 |
Taking measurements
<br/><br/>
Assignment 5 (due 4/1 1pm) |
Week 6 |
4/01 |
Review of common statistical tests<br/>
General power analysis
<br /><br/>
Assignment 6 (due 4/8 1pm) |
Week 7 |
4/08 |
Exam 1 |
Week 8 |
4/15 |
Sum of squares<br/>
Bootstrap
<br/><br/>
Assignment 7 (due 4/22 1pm) |
Week 9 |
4/22 |
Maximum likelihood<br/>
Likelihood ratio test<br/>
Profile likelihood
<br/><br/>
Assignment 8 (due 4/29 1pm)
|
Week 10 |
4/29 |
Generalized Linear Model (Poisson)
<br/><br/>
Assignment 9 (due 5/6 1pm)
|
Week 11 |
5/06 |
Generalized Linear Model (Binomial)
<br/><br/>
Assignment 10 (due 5/13 1pm) |
Week 12 |
5/13 |
Overdispersion<br/>
<br/>
Assignment 11 (due 5/20 1pm) |
Week 13 |
5/20 |
Zero-truncated and mixture models
<br/><br/>
Assignment 12 (due 5/27 1pm) |
Week 14 |
5/27 |
Parametric bootstrap likelihood ratio test
<br/><br/>
Assignment 13 (due 6/3 1pm)
|
Week 15 |
6/03 |
Generalized Linear Mixed Model
<br/><br/>
Assignment 14 (due 6/10 1pm) |
Week 16 |
6/10 |
Review |
Week 17 |
6/17 |
Final exam |