- Docente: Simone Tiberi
- Credits: 6
- SSD: SECS-S/02
- Language: English
- Moduli: Simone Tiberi (Modulo 1) Simone Tiberi (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
-
from Feb 12, 2024 to Mar 14, 2024
Learning outcomes
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.
Course contents
- Concepts in epidemiology and genetic epidemiology;
- association versus causation;
- modelling strategies;
- linear regression;
- logistic regression;
- survival analysis (including censored data, the Kaplan Meier estimator, parametric models, and the Cox proportional hazard model);
- multiple testing correction;
- clinical trials.
Readings/Bibliography
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.
Teaching methods
Lectures, and lab sessions with R.
Assessment methods
Written exam.
Office hours
See the website of Simone Tiberi