# Unit Medical Statistics with Elements of Computer Science

Course
Pharmacy
Study-unit Code
A003558
Curriculum
In all curricula
Teacher
Massimo Moretti
Teachers
• Massimo Moretti
Hours
• 48 ore - Massimo Moretti
CFU
6
Course Regulation
Coorte 2023
Offered
2023/24
Learning activities
Base
Area
Discipline matematiche, fisiche, informatiche e statistiche
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 epidemiology.
Risk analysis.
Reference texts
Statistics:
Lecture notes are available on UniStudium.

Epidemiology:
Pontello M. & Auxilia F. "Igiene, Medicina Preventiva e salute Globale" - Piccin, Padova.
(Chapters: 3, 4, e 5; the book is also adopted for the course of Hygiene).
Or:
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 exam (closed-ended questions).
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.
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