Survival analysis (2020/2021)

Learning outcomes

The course aims at providing the theoretical and practical tools for the analysis of survival data in human populations and the associated risk factors, i.e. skills in the field of epidemiology, biostatistics and computer science applied to the analysis of biomedical data (programming syntax of a statistical software).

The course is structured in theoretical and practical lessons (12h) on the use of a statistical software (STATA) for the quantitative analysis of biomedical data, which are provided in dual mode (face to face and remote).
The teaching material is made available to the students on the e-learning web page of the course (Moodle platform).

1) General concepts of survival analysis: endpoint, survival time, survival function, hazard.
2) Univariable analysis: Kaplan-Meier estimator, median survival time, Mantel-Haenzel test.
3) Multivariable analysis: Cox model.

Frequency-based