ORAL CONTRIBUTED SESSION 29: Prediction and Prognostic Models III
Tracks
PARALLEL HALL 1 (Maurice Saltiel I & II Hall)
| Wednesday, July 24, 2024 |
| 4:00 PM - 5:30 PM |
| PARALLEL HALL 1 (Maurice Saltiel I & II Hall) |
Presentations
Ms. Doranne Thomassen
Phd Candidate
Leiden UMC, Netherlands
OC29-1 | Effective sample size of individual predictions: Quantifying uncertainty in machine learning models
4:00 PM - 4:18 PM
Prof. Ben Van Calster
Leuven University Hospital, Belgium
OC29-2 | Properness of common performance measures for risk prediction models: A simple illustration
4:18 PM - 4:36 PM
Mr. Francois Petit
Inserm, Paris, France
OC29-3 | Optimal treatment regimes for the net benefit of a treatment
4:36 PM - 4:54 PM
Ms. Jessica Xu
University of Melbourne, Australia
OC29-4 | Optimising dynamic treatment regimens using sequential multiple assignment randomised trials data with missing data
4:54 PM - 5:12 PM
Dr. Rebecca Whittle
University of Birmingham, United Kingdom
OC29-5 | Extended sample size calculations for external validation of a machine learning model for individual risk prediction of a binary outcome
5:12 PM - 5:30 PMChair
Constantin Yiannoutsos
Indiana University School of Medicine
