- Docente: Giulia Cavrini
- Credits: 10
- SSD: SECS-S/02
- Language: Italian
- Moduli: Giulia Cavrini (Modulo 1) Rossella Miglio (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in STATISTICAL SCIENCES (cod. 8054)
Learning outcomes
By the end of the course the student should have gained an appreciation of the role of statistical methods and concepts in medicine, especially in clinical trials, epidemiological studies, reliability and validity of measurements. In particular the student should be able: - to understand the role of randomisation, control groups and blinding in the design of a clinical trial - to analyse data from a parallel group or a simple cross over trial - to apply the principles of meta analysis - to calculate and interpret relative risk, attributable risk, odds ratio in various types of epidemiological studies - to apply methods of adjusting odds ratios for confounding variables based on stratification, matching, logistic regression and Poisson regression - to use Kaplan-Meier method for the estimation of a survivor function - to fit and interpret Cox proportional hazard model
Course contents
Statistical sanitary sources for the mortality and morbidity study. Hospital Discharge Information System.
European health interview surveys. Health and lifestyle survey in Europe and in Italy.
Health status and quality of life measures. Health status indicators. Health for All.
Observational and experimental studies. Cohort, case-control, cross-sectional and ecological studies.
Statistical methods for disease risks. Confounding factors and stratified analysis. Logisti regression model and Poisson regression: estimate and hypothesis tests. Interpreting regression coefficients. Residual analysis and goodness of fit. Evaluation of diagnostic criteria.
Clinic and environmental epidemiology.
Meta-analysis of epidemiological studies.
Assessing health status in a population and evaluating therapies efficacy. Evidence based medicine.
Survival analysis. Non parametric methods. Life tables and their application to follow-up studies. The Kaplan Meier product-limit estimate of survival. Estimating the survivor and the hazard function.
Comparison of two groups of survival data: the log-rank test, the Peto test and the Wilcoxon test. Comparison of three or more groups of survival data.
The Cox Proportional Hazards model and its characteristics. Extension of the Cox Proportional hazard model for time-dependent variables.
Readings/Bibliography
P.Armitage, G. BETTY, Statistica medica, Mc Graw Hill Libri Italia, Milano, 1996.
R.Beaglehole, R. Bonita, T. Kjellström, Epidemiologia di base, Edizione italiana a cura di G. Agazzotti, Editoriale Fernando Folini, Casalnoceto, 1997.
K.J. Rothman, Epidemiology: an introduction,Oxford University Press, 2002.
D. W. Hosmer , S. Lemeshow Applied logistic regression, 2nd ed, J. Wiley & Sons, , 2000.
D. Kleinbaum, Survival analysis, Springer Verlag, 1996.
Teaching methods
Frontal lessons
Didactic Lecture
Computer session
Assessment methods
Computer laboratory test and oral examen
Office hours
See the website of Giulia Cavrini
See the website of Rossella Miglio