ID:
503392
Duration (hours):
16
CFU:
2
SSD:
STATISTICA MEDICA
Year:
2025
Overview
Date/time interval
Primo Semestre (01/10/2025 - 16/01/2026)
Syllabus
Course Objectives
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 detail, the course aims to develop the theory 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 descriptive statistical analyses and communicate in an appropriate way the findings, as well as to understand and critically evaluate results.
In detail, the course aims to develop the theory 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 descriptive statistical analyses and communicate in an appropriate way the findings, as well as to understand and critically evaluate results.
Course Prerequisites
The course is part of the students' basic training preparatory to the lessons and activities in the healthcare field. To better follow the course, the student must have basic knowledge of mathematics of scientific high schools’ program.
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 using also Power Point.
Practical exercises aim to the interpretation and comprehension of evidences deriving from the right application of methods medical statistics.
Practical exercises aim to the interpretation and comprehension of evidences deriving from the right application of methods medical statistics.
Assessment Methods
The exam will take place using the online platform " Kirotesting" and it will be 75 minutes and therefore a PC or tablet is required.
The test will serve to evaluate the learning of the different topics addressed in the course and will take place using closed and open-ended questions with a problem solving approach together with theoretical questions.
The evaluation will take into account the ability to communicate the knowledge acquired and report an appropriate use of scientific language. In the event that the test is not passed after the 4° attempt, the student will agree to take an oral test.
The use of a calculator is recommended.
The test will serve to evaluate the learning of the different topics addressed in the course and will take place using closed and open-ended questions with a problem solving approach together with theoretical questions.
The evaluation will take into account the ability to communicate the knowledge acquired and report an appropriate use of scientific language. In the event that the test is not passed after the 4° attempt, the student will agree to take an oral test.
The use of a calculator is recommended.
Texts
-Whitlock MC, Schluter D, Analisi statistica dei dati biologici, 2022
- Newbold P, Carlson W, Throne B. Statistica, 9 edizione, 2021, Pearson
- Newbold P, Carlson W, Throne B. Statistica, 9 edizione, 2021, Pearson
Contents
Introduction to Statistic and research planning.
Research Methodology:
- 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.
Build a report from introduction to conclusion.
Research Methodology:
- 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.
Build a report from introduction to conclusion.
Course Language
Italian
More information
The Professor takes appointments by email (Dept. of Public Health, Experimental and Forensic Medicine, U.O. of Biostatistics and Clinical Epidemiology, Via Forlanini 2, e-mail: ottavia.ferraro@unipv.it).
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