Programme scientifique

Thèmes scientifiques

Modèles en épidémiologie
Modèles de données sur la survie
Biomarqueurs
Modèles causals
Méta-analyse
Essais cliniques
Événements indésirables
Méthodes statistiques
Études non aléatoires

 

Cours - le dimanche 21 août (disponible en anglais seulement)

9 h – 17 h

10 h 00 – 10 h 30 Pause-café (Foyer)

12 h 30 – 13 h 30 Déjeuner (Salle 214)

15 h 00 – 15 h 30 Pause-café (Foyer)

 

1. Proportional Hazards Regression.  Based on the textbook, Proportional Hazards Regression (2008), Springer -  ISBN: 978-0-387-25148-6
   
   

   Instructeurs :

   John O'Quigley, Université Pierre et Marie Curie, Paris, France Ronghui Xu, University of California San Diego, San Diego, USA

   
   

   Bien que cela ne soit pas obligatoire, il est fortement recommandé aux participants d’apporter avec eux un exemplaire du manuel publié par Springer. Ce manuel peut être acheté facilement sur le web.

   
   
2. Statistics for Curves and Surfaces: The Analysis of Functional Data
   
   Instructeur : James Ramsay, Professor Emeritus, Psychology, McGill University, Montréal, Canada
   
   
3. Microsimulation Methods in Population Health
   
   Instructeur : Bill Flanagan, Chief, Health Analysis section, Statistics Canada , Ottawa, Canada
   
   
4. Using Genetic Markers for Risk Prediction - Potential and Challenges
   
   Instructeur : Celia Greenwood, Centre for Clinical Epidemiology, Lady Davis Research Institute, Jewish General Hospital, Montréal, QC, Canada

President’s Invited Speaker, Professor Nan Laird
(disponible en anglais seulement)

Title: The Challenges of Finding Genes in the Age of Association

Abstract:   In the relatively short time span of less than 10 years, association analysis has become the primary study design for finding new disease genes.  In only five years, Genome Wide Association Studies have become common currency.   Early successes with association analysis (Macular Degeneration and Diabetes) led to great excitement about the promise of GWAS for understanding the genetic basis of complex disease.  Although the number of GWAS has proliferated rapidly, replications are often disappointing and Meta-Analysis has become an essential part of the process of gene discovery.  This talk will review some of these features of modern gene mapping, including sample selection, the use of participants in clinical trials, designs on the horizon and integration of genetic, clinical and biologic data.

Nan Laird is a Professor of Biostatistics at the Harvard School of Public Health. Dr. Laird has contributed to methodology in many different fields, including meta-analysis, statistical genetics, and longitudinal data. She is a coauthor of the book, Applied Longitudinal Analysis, with Garrett Fitzmaurice and James Ware and is a coauthor with Christoph Lange on a forthcoming book on Statistical Genetics. She is the recipient of many awards and prizes, including Fellow of the American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award.

Mini Symposiums  - le jeudi 25 août (disponible en anglais seulement)

1. Current and Emerging Statistical Issues in Vaccine Research (Organizer:  Vaccines
   Sub-Committee of the International Society for Clinical Biostatistics
   
   
2. Vascular Variability Disorders: Chronobiological Perspectives on the Theory,
   Practice, Applications, and Advantages of Ambulatory Blood Pressure Monitoring
   (ABPM)
   (Organizer:  Douglas Wilson, School of Medicine and Health, Wolfson Research Institute, Durham University
   
   
3. Statistical Challenges in Comparative Effectiveness Research (Organizer:  Michal Abrahamowicz, McGill & M.A. Brookhart, UNC
   
   
4. Special CANNeCTIN Mini-symposium: Issues in Cardiovascular and Diabetes Trials
   (Organizer/Chair: Lehana Thabane, McMaster University, Canada)