Survival Analysis using R
This course is a practical introduction to some of the commonly-used tools for analysing survival data. Statistical theory underlying the different approaches is kept to a minimum, and emphasis is placed on the application of mainstream techniques in the statistics package R.
For modelling, the course is based on the widely-used Cox and Weibull regression models for time to survival data.
For practical work, participants will use R and a variety of extra packages from CRAN to extend the available standard survival techniques. Examples will be drawn from medical applications of survival analysis, primarily clinical trials.
Who Should Attend?
Medical statisticians, epidemiologists and other health-related professionals who are already familiar with applying survival techniques in a standard statistics package and wish to begin using R for the same tasks.
Participants will be assumed to have a working knowledge of R, covering data manipulation, an understanding of generic functions, extractor functions and concepts of object oriented programming such as methods and classes.
How You Will Benefit
You will acquire practical experience in the use of R for the analysis of survival data, and an appreciation of how R compares to other statistical packages.
What Do We Cover?
Practical work will be done in: R
Note: For practical work, participants must bring their own laptop.
Related Courses: Non-Proportional Hazards: Modelling the Restricted Mean Survival Time using R; Advanced Survival Analysis using R; Introduction to Survival Analysis; Survival Analysis for Medical and Health Professionals; Advanced Topics in Survival Analysis.