Causal Inference Approaches for Dealing with Time-dependent Confounding in Longitudinal Studies, with Applications to Multiple Sclerosis Research
Postdoctoral Researcher, Department of Epidemiology, Biostatistics and Occupational Health, McGill University and Postdoctoral Research Fellow, The Canadian Network for Observational Drug Effect Studies (CNODES)
Brian Leroux
Martin Puterman
Maximum likelihood estimation for mixture distributions and hidden Markov models
Postdoctoral fellow, Health Canada
Shiying Wu
James V. Zidek FRSC, O.C.
Asymptotic inference for segmented regression models
Statistics Canada
Paul Gerhard Kinas
Don Ludwig
Bayesian statistics for fishery stock assessment and management
University in Rio Grande, Brazil
Weimin Sun
James V. Zidek FRSC, O.C.
Bayesian Multivariate Interpolation with Missing Data and Its Applications
Post-Doctoral Fellow, Department of Statistics (University of British Columbia)
James (Jianmeng) Xu
Harry Joe
Statistical Modelling and Inference for Multivariate and Longitudinal Discrete Response Data
Statistical Consultant, Market Knowledge, Inc., Chicago
Xiaochun Li
Nancy E. Heckman
Local Linear Regression versus Backcalculation in Forecasting
Post-Doctoral Fellow, CRM (Centre de Recherches Mathematiques), ISM (Institute des Sciences Mathematiques), and UQAM (Universite du Quebec a Montreal)
Ao Yuan
Bertrand Clarke
A Minimally Informative Likelihood Approach to Bayesian Inference and Decision Analysis
Post-doctoral Fellow, Statistics Research Lab, Massachusetts General Hospital, Boston
Sonia Mazzi
Piet de jong
The Model Based Approach to Smoothing
Lecturer, Dept. of Economics, University of Hull, England
Renjun Ma
Bent Jorgensen
An Orthodox BLUP Approach to Generalized Linear Mixed Models
Post-doctoral Fellow, Dept. of Epidemiology & Community Medicine, University of Ottawa