- Docente: Simone Tiberi
- Crediti formativi: 6
- SSD: SECS-S/02
- Lingua di insegnamento: Inglese
- Modalità didattica: In presenza e a distanza - Blended Learning
- Campus: Bologna
- Corso: Laurea in Scienze statistiche (cod. 8873)
Conoscenze e abilità da conseguire
By the end of the course the students know the basic concepts and the statistical methods for the analysis of problems in the biomedical sciences. In particular students should be able: -to calculate and interpret the principal epidemiological measurements in various types of epidemiological studies. -to fit and interpret generalized linear models applied to biomedical data. -to apply the methods and models for the analysis of survival data.
Contenuti
- Concepts in epidemiology and genetic epidemiology;
- study designs (cross sectional, case control, cohort, and clinical trial);
- modelling strategies (applications of linear regression and logistic regression, ROC curve, multiple testing correction, and association versus causation);
- survival analysis (censoring, the Kaplan Meier estimator, parametric models, and the Cox proportional hazard model).
Testi/Bibliografia
Not mandatory.
1) D. G. Kleinbaum and M. Klein. Logistic Regression, 3nd
ed. Springer New York, 2010.
2) D. Collett. Modelling Survival Data in Medical Research, Chapman & Hall / CRC.
Metodi didattici
Lectures, and lab sessions with R.
Lab sessions will be streamed live online (via Teams).
Modalità di verifica e valutazione dell'apprendimento
Written exam, with multiple open questions about all topics covered.
Questions will also involve interpreting R scripts, similar to those used during the course.
The written exam may be replaced by an oral exam (of equal complexity) if 5 or fewer students register for an exam session.
Orario di ricevimento
Consulta il sito web di Simone Tiberi