Author: Drew Levy

Drew Levy is an epidemiologist focused modern applied methods for observational data analysis; using subject-matter–based structural causal models to guide model building and inference for longitudinal studies; and special focus on the methodologic issues of heterogeneity in disease severity for studies of disease progression.

Regression Modeling Strategies Short Course 2026, with Frank Harrell; May 14, 15, 18, 19

Frank Harrell’s Regression Modeling Strategies online seminar will take place May 14, 15, 18, and 19.

This workshop covers principled strategies for building, validating, and interpreting multivariable regression models for a wide range of outcomes, with emphasis on predictive accuracy, avoiding overfitting, and interpreting estimated effects. It explores spline methods, data reduction, benefits of Bayesian modeling, robust semiparametric ordinal, longitudinal, and survival models, and rigorous resampling-based validation, illustrated with applied case studies and R examples. More details here.

Along with the 1-day Introduction to R, Regression, and the rms Package, these virtual seminars are offered through Instats, in association with the A.S.A.

“Introduction to R, Regression, and the rms Package”: short course by Frank Harrell

On May 11th 2026, Professor Frank Harrell with lead a workshop, Introduction to R, Regression, and the rms Package, covering foundational R and RStudio skills, linear and multiple regression concepts, and an introduction to the rms package for model fitting and diagnostics. It also introduces a reproducible workflow using Quarto, with a case study demonstration typical for empirical research. This one-day virtual course is offered through Instats.