Computational and Data Systems Initiative
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:
> Understanding the different ways failure time data may be partially observed
> Learning different modelling methodologies specific to partially observed failure time data
> 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, McGill.