PROGRAMME
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Avancées récentes dans l’analyse statistique des données de survie
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25-28 mai 2021 - Bordeaux, France
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Mardi 25 mai 2021
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9:00 - 9:15
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Welcome and presentation by the organizers
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SESSION I
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Introduction to survival analysis
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9:15 - 10:00
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Overview of recent advances in survival analysis
Per Andersen (University of Copenhagen, Denmark)
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| 10:00 - 10:15 |
Coffee Break
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SESSION II
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High dimensional survival data
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10:15 - 11:00
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Random forest for survival data
Thomas Gerds (University of Copenhagen, Denmark)
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11:00 - 11:45
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A high-dimensional model for censored durations
Agathe Guilloux (Paris-Saclay, France)
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11:45 - 12:15
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Meet the speakers (3 links)
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Mercredi 26 mai 2021
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SESSION III
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Multi-state models
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09:00 - 09:45
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Introduction to multi-state model
Ahmadou Alioum (Inserm U1219, Bordeaux)
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09:45 - 10:30
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Dynamic prediction with multi-state models
Hein Putter (Leiden University, NL)
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10:00 - 10:15
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Coffee Break
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10:15 - 11:00
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Multi-state models for intermittently observed data
Christopher Jackson (MRC Biostatistics Unit, Cambridge, United Kingdom)
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11:15 - 12:00
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Restricted mean survival time, years lost and new functionals in multi-state models
Aurélien Latouche (CNAM, Paris, France)
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12:00 - 14:00
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Meet the speakers (4 links)
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Jeudi 27 mai 2021
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Causality in survival analysis
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08:30 - 09:15
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Causal interpretation in survival analysis
Kjetil Roystland (University of Oslo, Norway)
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09:15 - 10:00
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Hazard ratio and probabilistic Index in Cox model
Jan de Neve (Ghent University, Belgium)
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10:00 - 10:15
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Coffee Break and Poster session
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| SESSION V |
Recurrent events |
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10:15 - 11:00
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Introduction to recurrent events
Jennifer Rogers (University of Oxford, United Kingdom)
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11:00 - 11:45
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Accounting for risk-free periods in models for recurrent events
Richard Cook (University of Waterloo, Canada)
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11:45 - 12:30
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Joint models for recurrent events and terminal events
Virginie Rondeau (Inserm U1219, Bordeaux, France)
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12:30 - 13:00
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Meet the speakers (5 links)
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Vendredi 28 Mai 2021
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SESSION VI
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Joint models for time-to- event and longitudinal markers
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08:30 - 09:15
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Introduction to joint models
Michael Crowther (Karolinska Institute, Sweden)
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09:15 - 10:00
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Prediction from joint models
Dimitris Rizopoulos (Erasmus Medical Center Rotterdam, Netherlands)
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10:30 - 11:00
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Coffee Break and Poster session
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Comparison of joint models and landmark approach
Loïc Ferrer (Sophia Genetics, Bordeaux, France)
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10:45 - 11:30
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Joint model for heteroscedastic data
Jessica Barrett (MRC Biostatistics Unit, Cambridge, United Kingdom)
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11:30 - 12:15
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Joint latent class mixed models
Cécile Proust-Lima (Inserm U1219, Bordeaux, France)
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| 12:15 - 12:45 |
Meet the speakers (5 links) |
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