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PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20251114T205923EST-1560Ki61Zx@132.216.98.100
DTSTAMP:20251115T015923Z
DESCRIPTION:Workshop series\n	Computational and Data Systems Initiative\n\nT
 his workshop will introduce a variety of topics and concepts specific to t
 he field of survival analysis. The session will begin with a presentation 
 of examples of partially observed failure time data and then will proceed 
 to a presentation of parametric\, non-parametric and semi-parametric model
 ling methodologies. Using real-world examples\, we will illustrate how the
 se specific methodologies are implemented using the R programming language
 .\n\nThe outcomes of this workshop include:\n	> Understanding the different
  ways failure time data may be partially observed\n	> Learning different mo
 delling methodologies specific to partially observed failure time data\n	> 
 Learning how to apply these methods to a real-world data set using the R p
 rogramming language\n\nPre-requisites? An undergraduate/graduate mathemati
 cal statistics course and knowledge of the R programming language.\n\nDate
 : Monday February 14\, 2022\n	Time: 1PM to 3PM\n	Location: online via Zoom\n
 	Instructor: James McVittie\, PhD candidate in the Department of Mathematic
 s and Statistics\, 9I制作厂免费.\n\nThis workshop is offered for free by the Fac
 ulty of Science to the 9I制作厂免费 community. Due to the limited amount of spot
 s available\, if you sign up for a workshop and don't show up\, you will n
 ot be allowed to attend another workshop this semester.\n\nRegister here\n
 \n聽\n
DTSTART:20220214T180000Z
DTEND:20220214T200000Z
SUMMARY:Survival analysis (using R)
URL:/cdsi/channels/event/survival-analysis-using-r-336
 946
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