Welcome to the GitHub repository accompanying the half-day tutorial and 2-day short course on Targeted Learning, given at the Deming Conference on Applied Statistics, December 4-6, 2019.
- 9:00A-10:30A: Overview of Targeted (Machine) Learning
- 10:30A-10:45P: Break
- 10:45A-12:00P: TMLE for the Causal Impact of a Single
Time-Point Intervention on Survival with Software Exercise in
R
- 8:00A-9:30A: Overview of Targeted (Machine) Learning
- 9:30A-9:50A: Break
- 9:50A-11:20P: Causal Inference and Interventions
- 11:20A-12:40P: Lunch
- 12:40P-2:10P: Super (Machine) Learning and Targeted Minimum Loss-Based Estimation
- 2:10P-2:30P: Break
- 2:30P-4:10P: Super Learning in the
tlverse
software ecosystem - 4:10P-4:40P: Break
- 4:40P-5:50P: Super Learning in the
tlverse
software ecosystem
- 8:00A-9:30A: Targeted Maximum Likelihood Estimation
- 9:30A-10:00A: Break
- 10:00A-11:20A: Targeted Maximum Likelihood Estimation of the Average Treatment
Effect in the
tlverse
software ecosystem - 11:20A-11:40A: Lunch
- 11:40A-1:10P: Targeted Minimum Loss-Based Estimation of Time-to-Event
Outcomes with
MOSS
and Targeted Minimum Loss-Based Estimation for Longitudinal Data withltmle
Most of the software materials are based on an
early draft of the (eventually forthcoming) book The Hitchhiker's Guide to the
tlverse
, or a Targeted Learning Practitioner's Handbook, by Mark van der
Laan, Alan Hubbard, Jeremy Coyle, Nima Hejazi, Ivana Malenica, and Rachael
Phillips. For a work-in-progress draft of the unabridged book, please see
https://tlverse.org/tlverse-handbook or the associated GitHub
repository: https://github.com/tlverse/tlverse-handbook.
Note: travis-ci
currently deploys the developmental version of this workshop
handbook into the gh-pages
branch of this repository, which is hosted by
GitHub Pages at https://tlverse.org/deming2019-workshop.
The software materials are automatically built and deployed using Binder, which supports using R and RStudio, with libraries pinned to a specific snapshot on MRAN. An RStudio session, pre-loaded with all the materials, is available via