PRE-CONFERENCE COURSE 2: Dynamic Predictions for Longitudinal and Time-to-Event Outcomes, with Applications in R
Tracks
PARALLEL HALL 2 (Maurice Saltiel III Hall)
| Sunday, July 21, 2024 |
| 9:00 AM - 5:00 PM |
| PARALLEL HALL 2 (Maurice Saltiel III Hall) |
Presentations
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PCC2 | Session 1: Introduction of the framework of joint models for longitudinal and time-to-event data
9:00 AM - 10:30 AM
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PCC2 | Course break 10:30-11:00
10:30 AM - 11:00 AM
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PCC2 | Session 2: Joint models to estimate and evaluate dynamic risk predictions for the settings of one event and competing risks
11:00 AM - 12:30 PM
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PCC2 | Course break 12:30-13:30
12:30 PM - 1:30 PM
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PCC2 | Session 3: Dynamic predictions for one longitudinal and one event outcome + JMbayes2 practical to fit joint models and estimate risk predictions (Lab1)
1:30 PM - 3:00 PM
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PCC2 | Course break 15:00-15:30
3:00 PM - 3:30 PM
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PCC2 | Session 4: Dynamic predictions for multiple longitudinal outcomes and competing risks + JMbayes2 practical to fit joint models and estimate risk predictions (Lab2)
3:30 PM - 5:00 PMCourse Instructor
Dimitris Rizopoulos
Erasmus University Medical Center, Dept of Biostatistics
Christos Thomadakis
Biostatistician
University of Athens Medical School, Greece
