Program

Week Mon. 30 Tue. 31 Wed. 01 List

	Mon. 30	Tue. 31	Wed. 01
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00	Welcome 8:00 - 9:00 (1h) Welcome Coworking room - Entrance Targeted maximum likelihood estimation of intervention-specific absolute risks from continuous time-to-event data 9:00 - 9:55 (55min) Targeted maximum likelihood estimation of intervention-specific absolute risks from continuous time-to-event data Tamaris - 3th floor Frank Eriksson Test for informative cluster size with right censored survival data 10:00 - 10:55 (55min) Test for informative cluster size with right censored survival data Tamaris - 3th floor Aurélien Latouche Coffee break 11:00 - 11:30 (30min) Coffee break Classroom 307 Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models 11:35 - 12:30 (55min) Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models Tamaris - 3th floor Matthieu Marbac Lourdelle Lunch 12:30 - 14:00 (1h30) Lunch Informative labels in Semi-Supervised Learning 14:00 - 14:55 (55min) Informative labels in Semi-Supervised Learning Tamaris - 3th floor Aude Sportisse Causal and counterfactual views of missing data models 15:00 - 15:55 (55min) Causal and counterfactual views of missing data models Tamaris - 3th floor Razieh Nabi Coffee break 16:00 - 16:30 (30min) Coffee break Classroom 307 Censored Poisson regression with missing censoring indicators 16:35 - 17:30 (55min) Censored Poisson regression with missing censoring indicators Tamaris - 3th floor Jean-François Dupuy	Targeting key survey variables at the unit nonresponse treatment stage 9:00 - 9:55 (55min) Targeting key survey variables at the unit nonresponse treatment stage Sienne - 5th floor David Haziza What's a good imputation to predict with missing values? 10:00 - 10:55 (55min) What's a good imputation to predict with missing values? Sienne - 5th floor Marine Le Morvan Coffee break 11:00 - 11:30 (30min) Coffee break Classroom 504 Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach 11:35 - 12:30 (55min) Analysis of survival data with cure fraction and variable selection: A pseudo-observations approach Sienne - 5th floor Sy Han Chiou Lunch 12:30 - 14:00 (1h30) Lunch Extending excess hazard regression model in the absence of appropriate life tables 14:00 - 14:55 (55min) Extending excess hazard regression model in the absence of appropriate life tables Ardoise - 5th floor Roch Giorgi Improving dynamic models for predicting cancer progression: the use of joint modeling 15:00 - 15:55 (55min) Improving dynamic models for predicting cancer progression: the use of joint modeling Ardoise - 5th floor Virginie Rondeau Coffee break 16:00 - 16:30 (30min) Coffee break Classroom 504 Generalizable survival analysis of randomized controlled trials with observational studies (virtual) 16:35 - 17:30 (55min) Generalizable survival analysis of randomized controlled trials with observational studies (virtual) Ardoise - 5th floor Shu Yang Conference Dinner 19:30 - 21:30 (2h) Conference Dinner	Testing for Sufficient Followup in Censored Survival Data (virtual) 9:00 - 9:55 (55min) Testing for Sufficient Followup in Censored Survival Data (virtual) Ardoise - 5th floor Ross Maller Dependent Censoring Based on Copulas (virtual) 10:00 - 10:55 (55min) Dependent Censoring Based on Copulas (virtual) Ardoise - 5th floor Ingrid Van Keilegom Coffee break 11:00 - 11:30 (30min) Coffee break Classroom 504 Dealing with Incomplete Covariates in Survival Models: A Bayesian Approach 11:35 - 12:30 (55min) Dealing with Incomplete Covariates in Survival Models: A Bayesian Approach Ardoise - 5th floor Nicole Erler Lunch 12:30 - 14:00 (1h30) Lunch

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