BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20261107T124638EST-8663A1LsKt@132.216.98.100 DTSTAMP:20261107T174638Z DESCRIPTION:Dr. James Hanley and Samantha Hajna\n\nProfessor & PhD candidat e\n Department of Epidemiology\, Biostatistics and Occupational Health\, Mc Gill University\n\nData analysis in the time of cholera\n\nALL ARE WELCOME \n\nSYNOPSIS:\n\nWe revisit the big- (and smaller-) data on the 1849 and 1 854 cholera epidemics in England and the analyses carried out by William F arr\, John Snow and John Simon. Some of these data\, and the way they were obtained\, have not been widely used/described in the teaching of epidemi ology. Indeed some 23 pages of individual-level data in Snow’s 1855 book w ere omitted when\, in 1936\, Wade Hampton Frost (JHSHPH) had it reprinted as ‘Snow on Cholera.’ [According to Vandenbroucke\, it is this 1936 book t hat made Snow a hero: Snow’s self-financed book sold fewer than 60 copies\ , and his work was all but ignored in the 19th century.] \n\nWe will prese nt some of the data\, analyses and graphics in Farr’s 400 page ‘big data’ report on the 1849 epidemic\, a report the Lancet called ‘one of the most remarkable productions of type and pen in any age or country.’ We will foc us on the ’statistical law’ Farr developed from these data and how it fare d when confronted with the 1854 data.\n\nWe will describe the 1854 ‘Grand Experiment’ in South London that Snow exploited\, the extra work he had to do to use the limited denominator information available to him at the tim e\, how his results were reviewed by the critics\, and our efforts to revi ve the 23 pages of data.  Eighteen months after his book was published\, b etter denominators became available to him through an extensive study over seen by John Simon. Snow published an updated analysis of these South Lond on data in the Journal of Public Health in late 1856. We will relate Snow’ s criticisms of Simon’s numerators and his use of Simon’s denominators\, a nd speculate on how these data might be analyzed today.  \n\nWe will also relate how Simon seems to have anticipated\, by more than 100 years\, a no w-increasingly-popular technique for dealing with confounding.\n\nOBJECTIV ES:\n\n1. To become better acquainted with our epidemiological history\;\n \n2. to appreciate and learn from the population-based investigations befo re Pacini and Koch identified the vibrio cholerae\; and\n\n3. statistical practice ‘BC’ (i.e.\, before [electronic!] computers\, and multiple regres sion models fitted to big data).\n\nBIO:\n\nJim Hanley - www.medicine.mcgi ll.ca/epidemiology/hanley/\n\nSamantha Hajna completed a Bachelor of Scien ce (Honours) and a Master of Science degree in Health Sciences at Brock Un iversity. She is currently a PhD candidate in the Department of Epidemiolo gy\, Biostatistics and Occupational Health at McGill University. Broadly\, Samantha is interested in the social determinants of cardiometabolic heal th. While at Brock University\, the focus of Samantha’s research was on un derstanding the role of family eating behaviours on weight outcomes in chi ldren. Her current research focuses on the role of the built environment o n physical activity in adults with type 2 diabetes and how these factors m ay be targeted in interventions to facilitate increases in physical activi ty among adults. Samantha has been an active member of the Canadian Obesit y Network’s Student and New Professional Executive since 2010\, serving as the Financial Director in 2011/2012 and the Chair in 2012/2013.  \n\n \n DTSTART:20151123T210000Z DTEND:20151123T220000Z LOCATION:Room 521\, Meakins\, McIntyre Medical Building\, CA\, QC\, Montrea l\, H3G 1Y6\, 3655 promenade Sir William Osler SUMMARY:Epidemiology Seminar URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/epidemiology-semi nar-256724 END:VEVENT END:VCALENDAR