Erica E. M. Moodie (Biostatistics), Alexandra M. Schmidt (Biostatistics), and David A. Stephens (Mathematics and Statistics) are organizing a Summer School in Health Statistics at McGill University during the week of May 28-June 01, 2018, to be held the week before the SSC meeting in Montreal. This activity is linked to McGill’s new CANSSI Health Statistics training network:

https://www.mcgill.ca/mathstat/research/statistics/mcgill-health-statistics-training-network

The school will have daily short courses covering a wide variety of topics:

• Analysis of Administrative Health Care Data (Robert Platt)
• Introduction to Survival Analysis (James A. Hanley)
• Flexible Modeling of Survival Data: Challenges, Methods, and Applications (Michal Abrahamowicz)
• Statistical Evaluation of Prognostic Markers: Emerging Ideas and Applications (Paramita Saha Chaudhuri)
• Correlated Data Analysis (Erica E. M. Moodie)
• An Introduction to Causal Inference and Propensity Score Methods (David A. Stephens)
• An Introduction to Bayesian Inference and MCMC (David A. Stephens)
• A tutorial on Alternating Direction Method of Multipliers (ADMM) Algorithms (Yi Yang)
• Analysis of Spatially Structured Data (Alexandra M. Schmidt)

The courses will be tailored towards senior undergraduates and MSc students who may be interested in learning about the topics taught and research undertaken at the graduate level at McGill University.

Erica E. M. Moodie (Biostatistics), Alexandra M. Schmidt (Biostatistics), and David A. Stephens (Mathematics and Statistics)