Date: 2023-03-17

Time: 15:30-16:30 (Montreal time)

Hybrid: In person / Zoom

Location: Burnside Hall 1104

https://mcgill.zoom.us/j/83436686293?pwd=b0RmWmlXRXE3OWR6NlNIcWF5d0dJQT09

Meeting ID: 834 3668 6293

Passcode: 12345

Abstract:

Over the last 20 years, the speaker has delved into the origins of ‘regression’; the development of the ’t’ and ‘Poisson’ distributions; forerunners of the ‘hazard’ function; and the statistical design and conduct of US Selective Service lotteries from 1917 onwards. This talk will recount the stories, data and simulations behind some of these, and provide some modern-day re-enactments.

Speaker

Dr. James Hanley is a Professor in the Department of Epidemiology and Biostatistics, and an associate member in the Department of Mathematics and Statistics at McGill University. He is also a Senior Scientist in the Division of Clinical Epidemiology at Royal Victoria Hospital. He received Statistical Society of Canada Award for Impact of Applied and Collaborative Work in 2016 and Lifetime Achievement Award from Canadian Society of Epidemiology and Biostatistics in 2017.

His research interests include receiver operating characteristic (ROC) analysis, indices for measuring observer agreement, statistical methods for epidemiology, survival analysis and history of statistics and epidemiology.