Participants will be given free access to course videos after conclusion of the course.
Need a statistical modeling tune-up or to keep up to date with modern flexible methods for developing and validating predictive models? To understand the advantages and disadvantages of machine learning relative to statistical models? The only full Regression Modeling Strategies 4-day course offered this year covers predictive models, validation, missing data, preserving information, measuring predictive accuracy, avoiding overfitting, 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 11-14, 2021. 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 5 (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 and the rms package may wish to take the optional one-day R workshop on May 11 to enhance R and RStudio skills.
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
Statisticians and other quantitative researchers who want to learn some general predictive model development strategies, including approaches to missing data imputation, data reduction, model validation, relaxing linearity assumptions, and how to choose between machine learning and statistical models.
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).
Required pre-course study materials are here.
Go here
All times are U.S. Central Daylight Time (Chicago Time)
| Day | Date | Time | Description |
|---|---|---|---|
| Monday | May 10 | 9a-12p, 1p-4p | optional R workshop |
| Tuesday | May 11 | 9a-12p, 1p-4p | begin 4-day RMS course |
| Wednesday | May 12 | 9a-12p, 1p-4p | |
| Thursday | May 13 | 9a-12p, 1p-4p | |
| Friday | May 14 | 9a-1p | |
Click the above link to register and pay (if you are in a category that is charged). Please email interest/questions to fh@fharrell.com.
R Pre-Course Workshop Monday May 10, 2021* Pre-course study * Handouts - 545 page course handouts will be available here * Dr. Harrell’s Book - REGRESSION MODELING STRATEGIES with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis * Causal Models by Drew Griffin Levy * Full semester course syllabus * An introduction to the Harrell“verse” by Nicholas Ollberding