Regression Modeling Strategies Short Course 2023
The May 2023 course videos will be available in early June at which time this page will be updated. The next 4-day course is planned for Thursday-Friday May 16-17 and Monday-Tuesday May 20-21, 2024.
Do you need
- A statistical modeling tune-up or to learn about modern flexible methods for developing and validating predictive models?
- To understand the advantages and disadvantages of machine learning relative to statistical models?
- To know the importance of causal inference in formulating models?
The only full Regression Modeling Strategies 4-day course offered this year covers a comprehensive strategy for developing accurate predictive models, model specification that preserves information, quantifying predictive accuracy, avoiding overfitting, data reduction (unsupervised learning), making optimum use of incomplete data, validation, the art of data analysis, comprehensive case studies, and more.
The RMS 4-day short course will be held as a virtual course on May 16-19, 2023. This will be a very interactive live web course using Zoom with registration fees that are significantly reduced over the traditional yearly in-person course. Registration opens March 1 (see below). The course includes case studies using R. Even though the 4-day course will not require you to use R interactively, those participants who wish to learn more about R or attain the regression knowledge prerequisite for the 4-day course may wish to take the optional one-day Pre-RMS workshop on May 12 (see below) to enhance R and RStudio skills, learn about multiple linear regression (a prerequisite for the 4-day course), and to get an introduction to the R rms package.
About the Course
Four-day Short Course in Regression Modeling Strategies by
Frank E. Harrell, Jr., Ph.D., Professor, Department of Biostatistics, Vanderbilt University School of Medicine, Instructor
Drew G. Levy, Ph.D., GoodScience Inc., Guest Instructor and Moderator
Target Audience
Statisticians and other quantitative researchers who want to learn some general predictive model development strategies, including approaches to missing data imputation, data reduction, model specification and variable selection, model validation, relaxing linearity assumptions, and how to choose between machine learning and statistical models.
Prerequisites
Good working knowledge of ordinary multiple regression models. Some individuals will want to take the free Biostatistics for Biomedical Research course in preparation (especially sessions on regression). Or take the 1-day workshop to learn the prequisites (concentrating on multiple linear regression) for the 4-day course.
Required pre-course study materials are here.
Detailed Course Description
Go here
Schedule
All times are U.S. Central Daylight Time (Chicago Time)
| Day | Date | Time | Description |
|---|---|---|---|
| Thursday | May 11 | 9a-10a | optional Zoom test session |
| Friday | May 12 | 9a-12p, 1p-4p | optional workshop on R and prerequisites |
| Tuesday | May 16 | 9a-12p, 1p-4p | begin 4-day RMS course |
| Wednesday | May 17 | 9a-12p, 1p-4p | |
| Thursday | May 18 | 9a-12p, 1p-4p | |
| Friday | May 19 | 9a-1p | |
Live Participation
Registration opens Wednesday March 1, 2023 and is expected to close on May 12. Click the above link to register and, if you are in a category that is charged, to pay. Please email interest/questions to fh@fharrell.com.
Course Fees for 4-day Course
- VUMC, VU and MMC Students and Post-docs $100
- VUMC, VU and MMC Faculty and Staff $250
- Other Students $200
- Students and staff of nonprofit and government institutions residing in a World Bank-designated lower-middle income country, and citizens of such countries who are temporarily studying abroad $100
- Persons living in Ukraine or having to flee Ukraine $40
- Other Members of Non-Profit Institutions and Government Agencies $450
- Members of For-Profit Institutions $900
- Members of nonprofit organizations who have a pre-approved reduced rate for registering 10 or more $350
- No charge to Vanderbilt Department of Biostatistics faculty, staff and students
Pre-RMS: Introduction to R, RStudio, Regression, and the R rms Package
1-Day Workshop
Frank E. Harrell, Jr., Ph.D., Professor, Department of Biostatistics, Vanderbilt University School of Medicine, Instructor
Drew G. Levy, Ph.D., GoodScience Inc., Moderator
- For those new to R who want to learn about resources for taking your working knowledge of R to the next level (note that knowledge of R is not a prerequisite for the 4-day course but will make example code easier to understand).
- Also for those who have had some real exposure to statistics but who lack the regression model background for the 4-day course. The workshop introduces simple and multiple linear regression using material from Biostatistics for Biomedical Research.
- Learn how to use the R
rmspackage to make common tasks easy to do, e.g., relaxing linearity assumptions, getting useful statistical tests (including multiple degree of freedom “chunk” tests) and confidence intervals. - Get a quick introduction to Quarto for state-of-the-art reproducible statistical report construction.
- Get a quick introduction to some other components of R Workflow that help you in annotating datasets and achieving a high-efficiency analysis workflow.
- Course description
Course Fees for R Pre-RMS Workshop Friday May 12, 2023
- VUMC, VU and MMC Faculty, Staff, Students, and Post-docs $40
- No charge to Vanderbilt Department of Biostatistics faculty, staff and students
- Students at other universities $70
- Students and staff residing in a World Bank-designated lower-middle income country, citizens of such countries temporarily studying abroad, persons living in Ukraine or having to flee Ukraine $25
- Other Members of Non-Profit Institutions and Government Agencies $150
- Members of For-Profit Institutions $300
- To register:
Videos of the 4-Day Course
Video recordings of the May 2023 course will be available a week after the live course concludes, may be purchased using the link below. Free access to the videos was already provided to registrants for the May course.
Live participants will be given free access to course videos. For those in certain time zones that make live participation possible only for part of each session, the video recording of each day’s session will be available by 8am CDT the morning after the session.
If you do not want to take any of the live course, you may wish to purchase videos of the 2023 course, which will be available around 2023-06-01.
Registration for the videos entitles participants to obtain high-priority answers to statistical modeling questions from the instructors for up to one month after registration.
Accepted Payments
- Credit card
Materials
- 1-day Pre-course details
- Pre-course study for 4-day course
- Handouts
- Dr. Harrell’s Book - REGRESSION MODELING STRATEGIES with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
- Causal Models for Variable Selection by Drew Griffin Levy
- Full semester course syllabus
- An introduction to the Harrell”verse” by Nicholas Ollberding
- Biostatistics for Biomedical Research
- R Workflow
This course is not under the auspices of Vanderbilt University.