Università degli Studi di Perugia

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Unit MEDICAL STATISTICS AND COMPUTER SCIENCE

Course
Pharmacy
Study-unit Code
A000778
Location
PERUGIA
Curriculum
In all curricula
Teacher
Massimo Moretti
Teachers
  • Massimo Moretti - Didattica Ufficiale
Hours
  • 42 ore - Didattica Ufficiale - Massimo Moretti
CFU
6
Course Regulation
Coorte 2018
Offered
2018/19
Learning activities
Base
Area
Discipline matematiche, fisiche, informatiche e statistiche
Sector
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.
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