Announcements: Special thanks to everyone for a fabulous semester. Updates may be posted on this site from time to time.
Syllabus: The Spring 2022 syllabus can be found here (updated 04/07/2022).
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 | Regression with time-to-event outcomes | Link |
| 10 | Methods for longitudinal data | Link |
| 11 | Prediction and penalized regression | Link |
| 12 | Bayesian methods | Link |
| 13 | The bootstrap | Link |
| 14 | Methods for missing data | Link |
| 15 | 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, pushing back a lab.
| # | Date | Topic | Lab |
|---|---|---|---|
| 1 | 01/13 | Introduction to Stata | Link |
| 2 | 01/31 | Simple linear regression | Link |
| 3 | 02/07 | Building regression models | Link |
| 4 | 02/14 | Subgroup-specific effects and omnibus tests | Link |
| 5 | 02/21 | Transformations and nonlinearity | Link |
| 6 | 03/14 | Discrete outcome regression | Link |
| 7 | 03/21 | Proportional hazards regression | Link |
| 8 | 03/28 | Exploring longitudinal data | Link |
| 9 | 04/04 | Longitudinal regression methods | Link |
| 10 | 04/11 | Penalized regression | Link |
| 11 | 04/19 | Missing data | 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 | 01/20 | A1 | B1 |
| 2 | 02/03 | A2, A3 | B2 |
| 3 | 02/17 | A4, A5 | B3 |
| 4 | 02/24 | A6, A7 | B4 |
| 5 | 03/24 | A8, A9, A10 | — |
| 6 | 03/31 | A11, A12, A13 | — |
| 7 | 04/07 | A14, A15 | B5 |
| 8 | 04/14 | A16 | B6 |
Additionally, the problems from last year’s 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).
Lecture recordings: This year’s lecture recordings 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 |