Unit RESEARCH STATISTICS AND METHODOLOGY
- Course
- Biomedical laboratory techniques
- Study-unit Code
- A003223
- Curriculum
- In all curricula
- Teacher
- Roberto Fabiani
- CFU
- 3
- Course Regulation
- Coorte 2025
- Offered
- 2025/26
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa integrata
RESEARCH METHODOLOGY
| Code | 40285806 |
|---|---|
| CFU | 1 |
| Teacher | Roberto Fabiani |
| Teachers |
|
| Hours |
|
| Learning activities | Caratterizzante |
| Area | Scienze interdisciplinari |
| Academic discipline | SECS-S/02 |
| Type of study-unit | Obbligatorio (Required) |
| Language of instruction | Italian. |
| Contents | Sources of health information. Contents of articles published in research journals according to the IMRAD format (Introduction, Method, Results and Discussion), presentation of some examples. Databases. Literature review (systematic reviews and meta-analysis). |
| Reference texts | Lecture notes and the slides provided by the instructor. Please note that the slides are concise and do not cover all topics exhaustively. For a more comprehensive understanding of the subjects discussed, the following reference and supplementary textbook is recommended: “Statistica per discipline biomediche” – Stanton A. Glantz. McGraw Hill Education, 2007. (with CD-ROM). ISBN: 9788838639258. |
| Educational objectives | The course aims to introduce the student to the conceptual and methodological foundations of epidemiological research and evidence-based medicine (EBM). At the end of the course the student will be able to carry out a bibliographic search and interpret the results presented in scientific articles published in the literature. |
| Prerequisites | Conoscenze di base relative alla statistica descrittiva e alla metodologia epidemiologica. |
| Teaching methods | Face-to-face lessons. |
| Learning verification modality | Written exam |
| Extended program | Basics of Medical Statistics: - Numerical values ¿¿and modalities of a variable: qualitative and quantitative variables. - Collection of information and its synthesis. - Measures of central position and dispersion indices. - Sample / population: statistical inference. - Standard Gaussian. Hypothesis testing: H0 vs. H1. - Statistical tests: t-Student, ANOVA, Chi-square test. Epidemiological Methodology: - Basics of epidemiological methodology: definition and objectives. - Data sources. Frequency measures: mortality and morbidity rates. Mortality tables. Age pyramids. - Study design: observational and experimental epidemiology. - Descriptive and cross-sectional studies. Frequency measures: incidence and prevalence rates. - Analytical studies: cohort and case-control. Causal and/or non-causal association. Association measures: relative risk and odds-ratio; population attributable risk. - Experimental studies: preventive trials and randomized clinical trials and megatrials. |
| Obiettivi Agenda 2030 per lo sviluppo sostenibile | Good health and well-being |
MEDICAL STATISTICS
| Code | GP003899 |
|---|---|
| CFU | 2 |
| Teacher | Roberto Fabiani |
| Teachers |
|
| Hours |
|
| Learning activities | Base |
| Area | Scienze propedeutiche |
| Academic discipline | MED/01 |
| Type of study-unit | Obbligatorio (Required) |
| Language of instruction | Italian. |
| Contents | General principles of medical statistics and epidemiology. |
| Reference texts | Flowler J., Jarvis P., Chevannes M. "Statistica per le Professioni Sanitarie" - Edizioni EdiSES, 2005. |
| 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. |
| Other information | |
| 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. |
| Obiettivi Agenda 2030 per lo sviluppo sostenibile | Good health and well-being |