This workshop will introduce a variety of topics and concepts specific to the 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 modelling methodologies. Using real-world examples, we will illustrate how these specific methodologies are implemented using the R programming language.
The outcomes of this workshop include:
聽聽聽聽 > Understanding the different ways failure time data may be partially observed
聽聽聽聽 > Learning different modelling methodologies specific to partially observed failure time data
聽聽聽聽 > Learning how to apply these methods to a real-world data set using the R programming language
Pre-requisites? An undergraduate/graduate mathematical statistics course and knowledge of the R programming language.
Date: Monday February 14, 2022
Time: 1PM to 3PM
Location: online via Zoom
Instructor: James McVittie, PhD candidate in the Department of Mathematics and Statistics, 苹果淫院.
This workshop is offered for free by the Faculty of Science to the 苹果淫院 community. Due to the limited amount of spots available, if you sign up for a workshop and don't show up, you will not be allowed to attend another workshop this semester.
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