MEDICAL STATISTICS AND BIOMETRY
Stampa
Enrollment year
2021/2022
Academic year
2021/2022
Regulations
DM270
Academic discipline
MED/01 (MEDICAL STATISTICS)
Department
DEPARTMENT OF PUBLIC HEALTH, NEUROSCIENCE, EXPERIMENTAL AND FORENSIC MEDICINE
Course
DIETISTIC
Curriculum
PERCORSO COMUNE
Year of study
Period
(04/10/2021 - 21/01/2022)
ECTS
2
Lesson hours
16 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
Prerequisites
The course is part of the students' basic training together with Physics, preparatory to the lessons and activities in the haelthcare field. To better follow the course, the student must have basic knowledge of mathematics of scientific high schools’ program.
It is mandatory for Statistics for research and technology course.
Learning outcomes
The course of Medical Statistics and Biometry aims to provide the methodological principles for a scientific approach to the study in the healthcare field. It is the first step in the knowledge that an operator in the healthcare field must have in order to carry out correct results with comments.
In detail, the course aims to develop the theoretical and practical knowledge of the most frequent descriptive statistical methodologies (knowledge and comprehension), as well as the ability to correctly apply this knowledge in the healthcare field.
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 results.
Course contents
Introduction to Statistic and research planning.
Planning of a research
- Population, sample, and sampling methods (non-probabilistic and probabilistic);
- Experimental and Observational studies design
- Data organization: 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, range variance, standard deviation, coefficient of variation.
Teaching methods
The course is organised in lectures and practical exercises. With the problem solving approach, the fundamental elements of Medical Statistics will be addressed.
Practical exercises aim to the interpretation and comprehension of evidences deriving from the right application of methods medical statistics.
Reccomended or required readings
- MC Whitlock, D Schluter. Analisi statistica dei dati biologici. Zanichelli
- Newbold P,Carlson W, Throne B. Statistica. Pearson
- Lantieri P, Risso D, Ravera G. Statistica medica per le professioni sanitarie. McGraw-Hill
Assessment methods
The examination will be written with a problem solving approach and question about theory of statistics.
Further information
The Professor takes appointments (Dept. of Public Health, Experimental and Forensic Medicine, U.O. of Biostatistics and Clinical Epidemiology, Via Forlanini 2, e-mail: ottavia.ferraro@unipv.it).
Sustainable development goals - Agenda 2030