Unit MEDICAL STATISTICS AND COMPUTER SCIENCE
- Course
- Pharmacy
- Study-unit Code
- A000778
- Location
- PERUGIA
- Curriculum
- In all curricula
- Teacher
- Massimo Moretti
- Teachers
-
- Massimo Moretti
- Hours
- 42 ore - Massimo Moretti
- CFU
- 6
- Course Regulation
- Coorte 2018
- Offered
- 2018/19
- Learning activities
- Base
- Area
- Discipline matematiche, fisiche, informatiche e statistiche
- Academic discipline
- MED/01
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian.
- Contents
- General principles of statistics and traditional epidemiology.
Risk analysis. - Reference texts
- Lantieri P.B., Risso D., Ravera G. "Statistica Medica per le Professioni Sanitarie" - McGraw-Hill, 2004.
- Educational objectives
- The learning experiences should help students in achieving attitudes and practices on common techniques used in statistics and epidemiology.
- Prerequisites
- None.
- Teaching methods
- Face-to-face lessons.
- Learning verification modality
- Written (open-ended and closed-ended questions) + oral exam.
- Extended program
- Essentials of Medical Statistics:
Numerical/categorical variables.
Analysis of numerical outcomes: mean/median, standard deviation, standard error.
The normal distribution. Inferential statistics.
Comparison of two means: hypothesis tests and p-values. Student's t-test, ANOVA, Chi-square test.
Epidemiologic Methods:
Epidemiology: definition and scope. Rates of morbidity and mortality. Mortality tables. Population pyramids.
Study design: Observational and experimental epidemiology.
Ecological studies. Cross-sectional studies. Measures of disease frequency: prevalence and incidence.
Analytical epidemiology: cohort studies and case-control studies. Causal and/or noncausal association. Evaluation of relative risk (RR) and odds-ratio (OR); attributable risk.
Experimental epidemiology: preventive trials, randomized controlled trials.
Evidence-based medicine: systematic reviews and meta-analysis.
Risk Analysis:
IARC classification for carcinogenicity.