This schedule is subject to change. Please check back frequently.

MW 11:30-12:20, F 13:30-14:20

Week
Topic
Reading/notes
Assignments
1 (6 Sep)
Introduction, overview, logistics;
R basics, data visualization
DB pp. 1-5

2 (9, 11, 13 Sep)
Distributions and estimation; model fitting; design matrices and contrasts
DB rest of ch.1, ch. 2

3 (16, 18, 20 Sep)
General linear models (ANOVA, regression, ANCOVA, etc.)
DB ch. 6
problem set 1 (Mon.)
4 (23, 25, 27 Sep)
Exponential family and GLMs; estimation DB ch.

5 (30 Sep, 2, 4 Oct)
Inference DB ch. 5
PS 2
6 (7, 9, 11 Oct)
Logistic regression
DB ch. 7

Thanksgiving (14 Oct)
7 (16, 18 Oct)
Review and midterm exam

PS 3 (Mon.)
8 (21, 23, 25 Oct)
Count data (Poisson, negative binomial models), binomial models, overdispersion
DB ch. 9

9 (28, 30 Oct)
Nominal and ordinal data; conditional logistic regression
DB ch. 8
PS 4 (Thurs.)
10 (4, 6, 8 Nov)
Survival analysis
DB ch. 10

11 (11, 13, 15 Nov)
Bayesian approaches
DB ch. 13-14
PS 5 (Thurs.)
12 (18, 20, 22 Nov)
Multilevel models


13 (25, 27, 29 Nov)
Multilevel models, continued

PS 6 (Thurs.)
14 (2, 4 Dec)
Wrap-up