MED/01 (MEDICAL STATISTICS)
DEPARTMENT OF CLINICAL-SURGICAL, DIAGNOSTIC AND PEDIATRIC SCIENCES
1st semester (01/10/2019 - 15/01/2020)
30 lesson hours
The course is part of the students' basic training together with Physics, preparatory to the lessons and activities in the nurses’ field. To better follow the course, the student must have basic knowledge of mathematics of scientific high schools’ program.
The course aims to provide the methodological principles for a scientific approach to the studies in clinical field. It is the first step in the knowledge that a nurse must have in order that the clinical research carried out is correctly set and evaluated.
In detail, the course aims to develop the theoretical and practical knowledge of the most frequent basic statistical methodologies (knowledge and comprehension), as well as the ability to correctly apply this knowledge both to new experimental situations and to published research studies (ability to apply knowledge and comprehension).
At the end of the course the student will be able to use the main study planning tools and basic statistical analysis on the data; to interpret the results of a statistical analysis in an awareness and critical way; communicate pertinently what emerged; to understand the published evidence and to critically assess what exists in relation to one's work context.
At the end of the course the student will be able to independently perform basic statistical analyses and communicate in an appropriate way the findings, as well as to understand and critically evaluate the published evidences in relation to their work context.
Introduction to Statistic and research planning
- Population, sample and sampling methods (simple random sampling; stratified random sampling; cluster sampling). Introduction to sample size.
- Data organisation: database and dataset.
Tools for descriptive analysis and interpretation of data
- Description of statistical unit and type of variables. Frequency distribution for qualitative and quantitative variables. Graphics.
- Descriptive statistics: mean, median, mode, centiles, range variance, standard deviation, coefficient of variation.
- Pearson’s correlation coefficient.
- Introduction to probability. Probability axioms and conditional probability. Sensitivity and Specificity of a diagnostic test. False positive and negative. Positive and negative predictive values. Normal distribution probability.
- Test of hypothesis
- Parametric unpaired t-test.
- Chi-squared test.
The plan of the course is based on academic lectures and practical sections (problem solving approach).
Reccomended or required readings
- Lantieri, Risso, Ravera. STATISTICA MEDICA, McGrawHill, 2007 (revisione e adattamento di Lama e Signoriello per la Laurea in Infermieristica).
- Triola, Triola. Fondamenti di Statistica per le discipline biomediche. Pearson, 2017.
- Daniel, Cross. Biostatistica. Concetti di base per l'analisi statistica dell'area medico-sanitaria. III Edizione 2019 (Capitoli 1-4; 7).
Any other Biostatistics or Medical Statistics manual may be used.
Useful material will be on Kiro platform
The examination will be written with a problem solving approach. The student must demonstrate not only to know and correctly apply the techniques of analysis (knowledge and skills), but to be able to interpret the results obtained and communicate in a scientifically correct way the evidences form the analyses (competence). Three closed questions on theory aspects are also provided.
The Professor takes appointments (Dept. of Public Health, Experimental and Forensic Medicine, U.O. of Biostatistics and Clinical Epidemiology, Via Forlanini 2, e-mail: email@example.com), usually on Tuesday.
Sustainable development goals - Agenda 2030