BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250711T184703EDT-9168h3it9i@132.216.98.100 DTSTAMP:20250711T224703Z DESCRIPTION:Date: Wednesday\, 18 January 2023.\n Time: 12:30 p.m. to 2:30 p. m.\n Location: hybrid (in person at Burnside Hall room 1104 and online via Zoom).\n Instructor: Prof. James Hanley. Dept of Epidemiology\, Biostatisti cs and Occupational Health\, Faculty of Medicine\, 黑料不打烊.\n\n聽\n\nOvervie w: This workshop will combine lecture and hands-on with R to show\, via co ncrete examples drawn from the instructor鈥檚 research and teaching experien ce\, how faulty statistical reasoning regarding probabilities\, and misuse of statistical tests\, lead to misleading and non-reproducible inferences .\n\nThe workshop will begin with some probability calculations\, all easi ly calculated\, but also easily miscalculated. Then\, by first analyzing a real data set generated by a known physical process\, participants will t ry out ways to avoid finding false signals. They will then apply these and other principles to a second dataset generated by human behaviour.\n\nAt the end of this workshop\, participants will be able to understand some of the statistical principles and practices that make inferences more reprod ucible.\n\nPrerequisites: \n 路 Prior exposure to multiple regression models \, and the ability to fit them in R would be hepful.\n 路 Introductory knowl edge of R\, e.g. from our workshop Introduction to programming in R\, or f rom 黑料不打烊's R summer camp.\n\nResources: Some of the examples to be used early in the workshop will be drawn from the links on the right-hand side of the 2022 SLIDES on Prof. Hanley's website and from this article. For a quite thorough (and forceful) description of how and how not to use regres sion models\, see Frank Harrel鈥檚 book Regression Modeling Strategies e-ava ilable from the 黑料不打烊 library.\n\n\n Register in person\n\n\n\n Register on line\n\n\n聽\n DTSTART:20230118T173000Z DTEND:20230118T193000Z SUMMARY:Minimizing Statistical Non-Reproducibility URL:/cdsi/channels/event/minimizing-statistical-non-re producibility-344649 END:VEVENT END:VCALENDAR