BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250731T041038EDT-5525CakzIv@132.216.98.100 DTSTAMP:20250731T081038Z DESCRIPTION:Workshop series\n Computational and Data Systems Initiative\n\n  \n\n \n\n \n\nThis workshop will provide an introduction to the analysis o f spatially structured data.\n\nIt will introduce Spatial Statistics and f ocus on the analysis of data that vary over a discrete set of indices (are al data) as\, for example\, the number of registered cases of Covid-19 acr oss the boroughs of Montreal.\n\nAt the end of the workshop\, participants will have learned how to\n      > fit conditional auto-regressive (CAR) mo dels\;\n      > fit areal level data using CARBayes in R\;\n      > create d isease maps.\n\nPre-requisites: Knowledge of generalized linear models and R.\n\nDate: Monday\, April 11\, 2022\n Time: 1PM to 3PM\n Location: online via Zoom.\n Instructors: Alexandra Schmidt\, Professor of Biostatistics\, D epartment of Epidemiology\, Biostatistics and Occupational Health (EBOH) a t ºÚÁϲ»´òìÈ University\n\nThis workshop is offered for free by the Faculty of Science to the ºÚÁϲ»´òìÈ community. Due to the limited amount of spots avail able\, if you sign up for a workshop and don't show up\, you will not be a llowed to attend another workshop this semester.\n\nRegister here\n\n \n DTSTART:20220411T170000Z DTEND:20220411T190000Z SUMMARY:Bayesian statistics | Spatial data URL:/cdsi/channels/event/bayesian-statistics-spatial-d ata-338535 END:VEVENT END:VCALENDAR