Biostatistics and Epidemiology

A.Y. 2023/2024
6
Max ECTS
40
Overall hours
SSD
MED/01
Language
Italian
Learning objectives
The course is divided into two modules. The epidemiology module aims to develop knowledge on methodologies for evaluating the appropriateness and validity of observational studies and tools to quantify how exposure to a risk (or protective) factor can affect the health of a population. In addition, the course aims to i) define the type of study most suitable for answering questions relating to the relationship between exposure and health in the population ii) the computational methods to quantify possible relationships and their strength iii) to provide tools to critically evaluate the epidemiological literature. The biostatistics module aims to develop the ability to use appropriate methodological tools to critically evaluate the quality of clinical research in particular for the aspects of study planning and their internal validity. The course aims to define the most suitable types of analysis in relation to the end-points adopted. This module will also address the problems related to the reproducibility of clinical research, also in relation to the ethical aspects of biomedical research, and the different approaches to statistical inference.
Expected learning outcomes
At the end of the epidemiology module the student should be able to recognize and evaluate appropriate study designs to answer questions related to the causality of diseases, evaluate possible errors, strengths and weaknesses depending on the research question and critically read the literature.
The aim of the biostatistics module is to develop the ability to critically evaluate the results of clinical studies, both experimental and observational, through the learning of the principles of the study design and analysis of clinical trials and the concept of statistical inference, and to evaluate the type of analysis adopted in relation to the end-point of the study.
Single course

This course can be attended as a single course.

Course syllabus and organization

Single session

Responsible
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Course syllabus
Epidemiology module
1. Definition and purposes of epidemiology
2. Principles of Causality: causal interpretation of the exposure-disease relationship
3. Design of epidemiological studies - Experimental studies - Descriptive studies - Cross-sectional studies - Analytical studies: cohort studies and case-control studies
4. Measures of disease occurrence: prevalence and incidence
5. Disease association measures: rates, risks, odds and their relationships
6. Confusion and modification of effect
7. Impact measures in public health: attributable risk (in the exposed, in the population) and its interpretation
8. Evaluation of diagnostic tests
Biostatistics module
1. The logic of statistical inference: frequentist approach, the sampling distribution, the confidence interval and the hypothesis test.
2. Sample size calculation.
3. Outline of the Bayesian approach to inference.
4. The problem of reproducibility.
5. Statistical tests for comparing means and proportions with independent and paired data.
6. Outline of simple and multiple linear regression.
7. Survival analysis.
Further info concerning the course content will be provided on https://ariel.unimi.it
Prerequisites for admission
Quantitative methods to support healthcare decisions
Teaching methods
The course will provide hours of formal teaching (lectures) and non-formal teaching (exercises) mainly for learning the computational methodology. Reading of articles and presentation of case studies will also be requested to students.
Teaching Resources
Instructors will upload the slides and additional materials on https://ariel.unimi.it
Assessment methods and Criteria
The aim of the examination is to verify the theoretical / methodological knowledge acquired by the student, his/her ability to correctly apply descriptive and interpretative models to small sets of real data and finally to evaluate the results of a clinical, experimental or observational study, also through the critical analysis of the medical literature.
The exam is written.
The examination includes a test consisting of multiple-choice questions and calculation exercises. To each question a score is assigned that is acknowledged to the student if the answer is correct. The sum of the scores gives the mark of the exam, expressed in thirtieths.
During the written test, the students will be allowed to consult all the material they deem appropriate (books, course slides or notes), but will not be allowed to use electronic devices (mobile phones, iPads, etc.). The results of the written test are communicated to the students on the ARIEL website.
MED/01 - MEDICAL STATISTICS - University credits: 6
Lessons: 40 hours
Professor: Rossi Marta
Professor(s)
Reception:
tuesday 2.00 pm- 3.00 pm
Please, send an email before