The purpose of this workshop is to gather researchers of REDDIE WP4
who are interested in emulating a diabetes target trial in register
data. Specifically, we will work with an augmented version of the
R-package ltmle.
The meeting is organized as a mixture of 20 minute talks, a lot of time for discussion, and hands-on programming in R.
University of Copenhagen Øster Farimagsgade 5 B, DK-1014 Copenhagen K, Denmark Room: CSS 7.0.08
- 10:00-10:05
- Hello (Christian Torp-Pedersen)
- 10:05-10:25
- Real randomized trials in diabetes (Bochra Jamal Zareini)
- 10:25-10:40
- Discussion
- 10:40-11:00
- R-coding: Data preparation (I)
- 11:00-11:20
- Coffee break
- 11:20-11:40
- Design of an emulated trial using modern causal inference (Thomas Alexander Gerds)
- 11:40-12:00
- Discussion
- 12:00-13:00
- Lunch break
- 13:00-13:20
- Roadmap of statistical learning, G and Q (Alessandra Meddis)
- 13:20-13:40
- Discussion
- 13:40-14:15
- R-coding: Data preparation (II)
- 14:15-14:30
- Coffee break
- 14:30-14:50
- From register data to covariates, treatment, outcomes (Christian Torp-Pedersen)
- 14:50-15:10
- Discussion
- 15:10-16:00
- R-coding: Data preparation (III)
- 9:00-9:20
- Sequential outcome regression (Emilie Wessel Søgaard)
- 9:20-9:40
- Discussion
- 9:40-10:20
- R-coding: LTMLE (I)
- 10:20-10:35
- Coffee break
- 10:35-10:55
- Propensity of treatment, censoring, competing risks (Alessandra Meddis)
- 10:55-11:40
- R-coding: LTMLE (II)
- 11:40-12:00
- Discussion
- 12:00-13:00
- Lunch break
- 13:00-13:20
- LTMLE update step, the fluctuation model (Mark Bech Knudsen)
- 13:20-13:40
- Discussion
- 13:40-13:55
- Coffee break
- 13:55-14:30
- R-coding: LTMLE (III)
- 14:30-14:50
- Super learner: advantages and pitfalls (Thomas Alexander Gerds)
- 14:50-15:00
- Good bye (Christian Torp-Pedersen)