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DTSTART;TZID=America/Halifax:20200806T200000
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CREATED:20200614T162707Z
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UID:5218-1596744000-1596747600@aarms.math.ca
SUMMARY:Math Kitchen Party: organized by Connie Stewart (UNB Saint John)
DESCRIPTION:Hierarchical linear model with power law function on transmission of COVID-19 in Italy: Modelling and regression analysis\nYoutian Hao (UNB Fredericton)\nCOVID-19 growth data were typically collected from each region of a country\, and the transmission rate usually varies in different area. By adopting a power law with exponential cutoff function into hierarchical linear model\, it becomes possible to reveal the relationship between COVID-19 transmission rate and some regional level covariates of interest. A two-level hierarchical linear model is constructed\, where the first level includes a PLEC function with Poisson link\, and the second level incorporates parameters from level-one with regional level covariates. Modelling and regression analysis approach is implemented based on the model with Italian COVID-19 transmission data. \nWhy Most Published Research Findings Are False\nHugh Chipman (Acadia)\nMany scientific studies declare a “statistically significant” result but then can’t be replicated. What’s going on? Can we no longer trust statistics? Is this the end of the world as we know it? \nMusical Guests\n\nMichele Millar (MSVU)\nAugusto Suarez Garcia (UNBSJ)\n\nThis is a virtual zoom meeting.  If you would like to attend\, please email the organizers for connection details. \n[more information about the Math Kitchen Party summer talk series]
URL:https://aarms.math.ca/event/math-kitchen-party-2020-08-06/
LOCATION:Zoom seminar
CATEGORIES:AARMS Summer Talk Series
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