Program

Monday June 4th 

1:45-2:10 pm Opening session

2:10-3:30 pm « Multi state models »

  • 2:10-2:50 pm Niels Keiding (Copenhagen, Denmark):
    Statistical aspects of measuring time to pregnancy – methods and experience
  • 14:50-3:30 pm Jeremy Taylor (Ann Arbor, US):
    Modeling cancer outcomes using multistate cure models

3:30-4:00 pm Coffee break 

4:00-5:20 pm « Joint and multivariate modeling » 

  • 4:00-4:40 pm Sylvia Richardson (Cambridge, UK):
    Uncovering structure in high dimensional data via outcome-guided clustering
  • 4:40-5:20 pm Virginie Rondeau (Bordeaux, France):
    Modeling recurrent events with joint modeling in Oncology

5:20-5:30 pm Closing of 1st day


Tuesday June 5th 

9:10-10:30 am «Prediction»

  • 9:10-9:50 am Hein Putter (Leiden, The Netherlands):
    Robust dynamic prediction in multi-state models
  • 9:50-10:30 am Thomas Gerds (Copenhagen, Denmark):
    Prediction of t-year outcome for time-varying treatment regimes

10:30-11:00 am Coffee break

11:00-12:20 am «Causality»

  • 11:00-11:40 am Odd Aalen (Oslo, Norway):
    Causal inference in survival analysis
  • 11:40-12:20 am Rodolphe Thiébaut (Bordeaux, France):
    The mechanistic model point of view of causality

12:20-2:00 pm Lunch break

2:00-4:00 pm «Model selection and tests »

  • 2:00-2:40 pm Benoit Liquet (Pau, France):
    Pvalue and Multiple test procedures
  • 2:40-3:20 pm Anne Gégout-Petit (Nancy, France):
    A new centered autologistic spatio-temporal model. Application to the propagation of esca (wood disease) in the vineyards of Bordeaux
  • 3:20-4:00 pm Hélène Jacqmin-Gadda (Bordeaux, France):
    The score-tests: a long story

4:00 pm Closing session

 


Location: Inserm U1219, ISPED, Université de Bordeaux, site Carreire, 146 rue Léo Saignat, Bordeaux, Amphi P.A Louis.

PDF program — online calendar: iCal file or google agenda