CTML Spotlight

6/24/24 - 6/28/24 ​“Machine Learning for Epidemiologic and Health Policy Analysis” course at the University of Oslo

​“Machine Learning for Epidemiologic and Health Policy Analysis”

CTML faculty Alan Hubbard alongside CTML Rachael Phillips will facilitate a June 24-28 course focusing on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so-called causal parameters, such as average...

5/14/24 - 5/17/24 The 2024 American Causal Inference Conference (ACIC)

ACIC 2024 - Seattle, WA, May 14–17

SHORTCOURSE

“Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Discovery and Causal Inference in Epidemiology”

CTML Feature: David McCoy, Ph.D.

“Highly Adaptive Lasso and Adaptive TMLE in Causal Inference”

CTML Feature: ...

6/18/24 - 6/21/24 2024 Society for Epidemiologic Research (SER) Conference

SER Conference 2024 - Austin, TX, June 18-21

PRESENTERS

“When Measurement Mediates the Causal Effect of Interest”

CTML Feature: Joy Nakato

“Simulations to Improve the Rigor & Reproducibility of Real-data Applications”

CTML Feature: ...

5/5/24 - 5/8/24 Mark van der Laan — Speaker at ISPOR 2024

ISPOR 2024

CTML faculty Mark van der Laan will speak at the Professional Society for Health Economics and Outcomes Research (ISPOR) conference at the Georgia World Congress Center in Atlanta from May 5-8. His workshop “Targeted Learning for Causal Inference Using Real-World Data” aims to discuss the application of novel methods of estimating causal inference using real-world data.

4/17/24 - 4/19/24 ​EuroCIM 2024 Course — “Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Discovery and Causal Inference in Epidemiology”

EuroCIM - "Unlocking the Mysteries of Mixed Exposures: Targeted Learning for Robust Discovery and Causal Inference in Epidemiology”

CTML faculty, researchers, and alumni, David McCoy, Mark van der Laan, Alan Hubbard, Alejandro Shuler, Rachael Phillips, and Ivana Malenicawill will facilitate their course at the European Causal Inference Meeting in Copenhagen, Denmark, from April 17-19, 2024.

4/17/24 - 4/19/24 Maya Petersen — Keynote speaker at EuroCIM 2024

EuroCIM 2024

CTML faculty Maya L. Petersen will present "The Causal Roadmap in the Age of AI: From All-Wheel Drive to Formula 1" at the European Causal Inference Meeting in Copenhagen, Denmark, from April 17-19, 2024.