R – Advanced regression, Survival analysis & Visualisation
The course covers some common but advanced regression models as well as survival analysis.
We will 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.
Utbildningsformer
Classroom
Remote
Längd
1 dag
Pris
8500 kr
Course goals:
To be able to use R to fit, visualise and interpret models for logistic regression, count regression and survival analysis.
Prerequisites:
R1 or equivalent prior knowledge.
Program R - Advanced regression, Survival analysis & Visualisation
GENERALISED LINEAR MODELS
Logistic regression
Poisson regression and negative binomial regression
Fitting, building and validating models
SURVIVAL ANALYSIS
Kaplan-Meier curves
Log rank test
Cox PH regression
Accelerated failure time models