BIOS 6312 – Modern Regression Analysis

Announcements:  No announcements at this time!

Syllabus: The Spring 2023 syllabus can be found here.

Lecture notes: The lecture notes for this course are posted here. They are not to be copied without permission of the instructor.

# Topic Slides
1 Welcome and review Link
2 Simple linear regression Link
3 Multiple linear regression (fundamentals) Link
4 Multiple linear regression (interactions, subgroup effects) Link
5 Transformations and basis expansions Link
6 Weighted least squares Link
7 Regression with binary outcomes Link
8 Regression with nominal, ordinal, and count outcomes Link
9 Methods for longitudinal data Link
10 Regression with time-to-event outcomes Link
11 Prediction and penalized regression Link
12 Nonlinear regression Link
13 Methods for missing data Link
14 The bootstrap Link
15 Bayesian methods Link
16 Examples for R Enthusiasts! Link

Labs: Links to this year’s labs are provided below. Note that not all formal labs occur on Mondays, and not all Mondays are formal labs. For instance, sometimes lab periods are better utilized as time for exam review.

# Date Topic Lab
1 01/12 Introduction to Stata Link
2 01/30 Prediction and diagnostics Link
3 02/06 Subgroups and omnibus tests Link
4 02/13 Transformations and nonlinearity Link
5 03/07 Discrete outcome regression Link
6 03/27 Longitudinal regression methods Link
7 04/03 Survival analysis Link
8 04/10 Penalized regression Link

Problem sets and keys: This year’s collection of problems can be found here. Problems will be due in batches (see schedule below).

# Due date All students Biostat students
1 01/19 A1 B1
2 01/26 A2, A3 B2
3 02/02 A4, A5 B3
4 02/09 A6, A7 B4
5 02/21 A8, A9 B5
6 03/23 A10, A11, A12
7 03/30 A13, A14 B6
8 04/06 A15, A16 B7
9 04/13 A17 B8
10 04/18 A18 B9

Additionally, the problems from a prior offering of this this course are provided here, along with the keys. You have access to all of last year’s data sets, and so you should view this as an additional resource to practice—particularly on material you find challenging.

Data: Data sets and documentation can be found here (you will need the password).

Exams: This year’s exams will be posted here, along with their keys. Exams and keys from prior years are provided below. Note that emphasis changes from year to year, as does the ordering of topics.

Description Exam Key
Exam 1 (2020) Link Link
Exam 2 (2020) Link Link
Exam 1 (2021) Link Link
Exam 2 (2021) Link Link
Exam 1 (2022) Link Link
Exam 2 (2022) Link Link
Exam 1 (2023) Link Link
Exam 2 (2023) Link Link