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UID:20250710T235703EDT-2598xfsDwZ@132.216.98.100
DTSTAMP:20250711T035703Z
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
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