Summer School in Health Data Analytics—McGill University
May 31–June 3, 2021
The school consists of four days of short courses tailored towards senior undergraduates and MSc students who may be interested in learning about the topics taught and research undertaken at the graduate level in biostatistics at McGill University.
The summer school will be held online during the week of May 31–June 03, 2021. The school is part of the activities of the Graduate Program in Biostatistics and the McGill Health Statistics Training Network, which is part of the Canadian Statistical Sciences Institute (CANSSI). The school is sponsored by the Department of Epidemiology, Biostatistics and Occupational Health of McGill University and the Institut des sciences mathématiques (ISM).
- 9:30 a.m.–12:00 p.m. Robert Platt Analysis of administrative health care data
- 1:30 p.m.–4:00 p.m. James Hanley States and events: An orientation to risks and hazards
- 9:30 a.m.–12:00 p.m. David A. Stephens Bayesian inference and Markov Chain Monte Carlo
- 1:30 p.m.–4:00 p.m. Sahir Bhatnagar Data analysis using penalized regression methods
- 9:30 a.m.–12:00 p.m. Erica E. M. Moodie An introduction to correlated data models
- 1:30 p.m.–4:00 p.m. Shirin Golchi An introduction to Bayesian adaptive designs for clinical trials
- 9:30 a.m.–12:00 p.m. Alexandra M. Schmidt Bayesian disease mapping
Erica E. M. Moodie (McGill University)
Robert Platt (McGill University)
Alexandra M. Schmidt (Chair, McGill University)