Event
Cutting Edge Lecture in Science: Did this make that happen? Causation, causality, and the statistician
Thursday, December 6, 2018 18:00to19:00
Redpath Museum
Auditorium, 859 rue Sherbrooke Ouest, Montreal, QC, H3A 0C4, CA
Price:
FREE with admission to Museum
By听Erica Moodie (William Dawson Scholar & Associate Professor, Department of Epidemiology, Biostatistics, and Occupational Health, Faculty of Medicine, 91社区).听A significant proportion of research seeks to discover causes 鈥� causes of disease, of disparities, of longevity. Causation has been considered by philosophers, religious scholars, mathematicians, for millennia but only recently in ways that are amenable to study with the larger datasets that are available to researchers today. In the last several decades, statisticians have developed a framework to help guide data analyses that can help to understand whether observed relationships learned from data may be 鈥渞eal鈥� or not. I will touch on some historical views of causation, and explain an approach that is used by statisticians to design valid analyses.
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