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).
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.
STATA statistical software will be used.
| Author | Title | Publisher | Year | ISBN | Note |
| Marubini E, Valsecchi MG | Analysing Survival Data from Clinical Trials and Observational Studies | John Wiley & sons | 1995 |
Frequency-based
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