Module Details

Biostatical and epidemiological methods, applied to clinical and to global public health: biostatistics and epidemics

MF0619

Course
Biostatical and epidemiological methods, applied to clinical and to global public health: biostatistics and epidemics
Code
MF0619
Academic Year
2023/2024
Curriculum Year
2022/2023
Degree Programme
ARTIFICIAL INTELLIGENCE AND DIGITAL INNOVATION
Curriculum
A014 - Bio-Medicale
Course coordinator
Lecturers
Credits
3
Lecture Hours
24
Scientific Disciplinary Sector (SSD)
MED/01 - Medical Statistics
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
2
Teaching period
Primo Semestre
Campus
VERCELLI
Teaching language
Italian
Learning Outcomes
Knowledge and understanding:
- basic notions of descriptive statistics and data presentation in the biostatistic field
- logic of statistical inference (frequentist approach, sampling distribution, confidence interval and hypothesis tests).

- epidemiological knowledge for the design of an epidemiological study
- knowledge to understand and measure the phenomena of health and disease.

Ability to apply knowledge and understanding:
- ability to solve simple statistical problems using adequate analytical tools.
- ability to design a statistical analysis to address an epidemiological problem.
- ability to recognize and evaluate appropriate study designs to anserwquestions related to the causality of diseases, assessing possible errors, strengths and weaknesses based on the research question.
- ability to use statistical software for statistical and epidemiological analysis purposes

Autonomy of judgement:
-to be able to define the entire scientific reasoning from the research question to the formulation of the hypothesis
- to be able to express epidemiological judgments and evaluations starting from biological data.
- to acquire the tools to critically evaluate the results of a statistical analysis and epidemiological literature.

Communication skills:
- ability of arguing the principles of statistical inference and the reasons for choosing a specific statistical test.
- ability of explanation of the limitations and advantages of epidemiological study designs and their fields of application.
- ability of description of the stages of planning a scientific research, from the conception to the publication of the results
Learning ability:

-Gaining of ability to understand the differences between research and scientific research and specifically, the characteristics of epidemiological research from the perspective of evidence based practice (EBP).
Expected Learning Outcomes
Knowledge:
- knowledge of the principles of descriptive medical statistics and of the statistical terminology adopted in the scientific field in the description of populations and samples.
- knowledge of the probabilistic and inferential bases and of the methodological elements useful for the interpretation of the results of an epidemiological study.
- knowledge of the epidemiological relationship and its relationship with causality.
-knowledge of the main tools and methods to quantify the relationship between exposure and health outcomes.
- knowledge of the main designs of epidemiological studies and the measures of occurrence and association appropriate to the data and context.

Competences and Skills:
- correct and efficient selection of a statistical sample
- choice of valid and reliable tools to measure variables and appropriate analysis techniques according to the hypothesis.
-recognition of an epidemiological relationship in the components that determine it and the ability to reason on its causality
-identification of the design of an epidemiological study and evaluation of the possible advantages and disadvantages - interpretation of the results of quantitative methods for measuring health problems and the associations between risk factors and diseases.
-management of statistical analyzes in R / Stata relating to the main methods used in epidemiology
- reading of a scientific article, understanding the methods and learning how to critically evaluate the results
Last update:09-09-2026 00:14:31