Home Conference BayesMeCOSProgram

Program

Friday, January 24

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• 09.00 – 10:00: Registration + coffee
• 09:30 – 10:00: Welcome address
• 10:00 – 11:30:   Session 1: Complex data models for precision medicine
  
  • Norma Alejandra Vergara Lope Gracia (Oxford University): Applying mathematical modelling of microbiota and metabolic networks in childhood obesity
  • Davide Fabbrico (University of Florence): An interpretable varying coefficients approach to non-linear regression
  • Lorenzo Ghilotti (University of Milan-Bicocca):  Bayesian clustering of high-dimensional data via latent repulsive mixtures
  • Discussant/moderator: Matteo Pedone (GSK)

• 11:30 – 12:00: coffee break
  
  
• 12:00 – 13:30:   Session 2: External data integration and borrowing information from non-concurrent trials in clinical studies
  
  • Giulio Grossi (University of Florence): Synthetic control method for clinical trials and precision medicine
  • Francesco Mariani (Sapienza University of Rome & University of Bologna): A Dynamic Borrowing Power Prior Approach to Non-Inferiority Trials
  • Roberto Macrì Demartino (University of Padua & University of Trieste): Eliciting prior information from clinical trials via calibrated Bayes factor
  • Discussant/moderator: Veronica Ballerini (University of Florence)
• 13:30 – 15:00: lunch
  
  
• 15:00 – 16:30:   Session 3:  Causal inference in clinical studies with complications
  
  • Veronica Ballerini (University of Florence): Principal stratum strategy for safety evaluation
  • Lisa Braito (University of Florence): Assessing Principal Causal Effects with Outcome-dependent Sampling Using Principal Score Methods: An Application to the E3N Cohort
  • Silvia Noirjean (GSK): Accelerating Clinical Trials through Surrogate Endpoints: Causal Inference Frameworks
  • Discussant/moderator: Fabrizia Mealli (European University Institute)
• 16:30 – 18:30:  Poster session & aperitif