- Docente: Paola Rucci
- Credits: 2
- SSD: MED/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Single cycle degree programme (LMCU) in Medicine and Surgery (cod. 9210)
Learning outcomes
Select, apply and interpret the most common statistical tests for descriptive and comparative analyses used in the biomedical literature and in the clinical setting. Contrast different study designs used in clinical epidemiology and research, and compute measures of treatment efficacy and risk factor impact.
Course contents
Biostatistics
Lecture 1.
- The importance of medical statistics for research and clinical practice
- Developing a database: variable types and formats
Lecture 2.
- Descriptive statistics of categorical, ordinal and continuous variables
- Graphical representation of variables
Lecture 3.
- Hypothesis formulation and testing
- Confidence intervals
Lecture 4.
- Correlation and regression analysis
Epidemiology
Lecture 1.
- The fundamentals of epidemiology: concepts, definitions
- Occurrence measures: incidence rate and prevalence
Lecture 2.
- Relations between occurrence measures
- Effect measures: attributable risk, rates and fractions
Lecture 3.
- Measures of diagnostic accuracy
Lecture 4.
- Epidemiological study designs: cohort, case-control, cross-sectional, RCT
- Analysing binary data: relative risks and odds ratios
Biostatistics
Lecture 1.
- The importance of medical statistics for research and clinical practice
- Developing a database: variable types and formats
Lecture 2.
- Descriptive statistics of categorical, ordinal and continuous variables
- Graphical representation of variables
Lecture 3.
- Hypothesis formulation and testing
- Confidence intervals
Lecture 4.
- Correlation and regression analysis
Epidemiology
Lecture 1.
- The fundamentals of epidemiology: concepts, definitions
- Occurrence measures: incidence rate and prevalence
Lecture 2.
- Relations between occurrence measures
- Effect measures: attributable risk, rates and fractions
Lecture 3.
- Measures of diagnostic accuracy
Lecture 4.
- Epidemiological study designs: cohort, case-control, cross-sectional, RCT
- Analysing binary data: relative risks and odds ratios
Readings/Bibliography
Pagano, M., and K. Gauvreau. 2018. Principles of Biostatistics, 2nd ed. New York: Chapman and Hall/CRC.
Recommended chapters: 1-3, 9-13, 15, 17-21
Basic Epidemiology 2nd Edition by R. Bonita R. Beaglehole T. Kjellström, World Health Organization
free download at
http://apps.who.int/iris/bitstream/10665/43541/1/9241547073_eng.pdf
Teaching methods
Lectures in person
Assessment methods
Instructions for the written test
The test consists of 4-choice questions. Only one answer is correct. There are no penalties for wrong or blank answers.
The test must be completed in 45 minutes.
Grade acceptance/refusal
Grades are published within 3 days on AlmaEsami.
The student can refuse the grade within 5 days from publication by sending an e-mail to Prof. Gramenzi (annagiulia.gramenzi@unibo.it) and the Program coordinator (medicine.surgery@unibo.it).
All refusals must be sent from the institutional e-mail address @studio.unibo.it
After 6 days from publication, the acceptance will be taken for granted and the exam will be recorded.
Teaching tools
slides
interactive tests
Office hours
See the website of Paola Rucci