R 3 – Advanced regression models & survival analysis
This course covers some common but advanced regression models as well as survival analysis. We’ll cover non-linear regression models like logistic regression and Poisson regression, where the response variable can be either binary (yes/no) or counts. In survival analysis, we’ll have a look at Kaplan-Meier survival curves and regression models, including Cox proportional hazards regression.
To be able to use R to fit, visualise and interpret models for logistic regression, count regression and survival analysis.
R1 and R2 or similar.
Course Content: R3 – Advanced regression models & survival analysis
GENERALISED LINEAR MODELS
- Logistic regression
- Poisson regression and negative binomial regression
- Fitting, building and validating models
- Kaplan-Meier curves
- Log rank test
- Cox PH regression
- Accelerated failure time models