Teaching code

4S000032

Teacher

Simone Accordini

Credits

2

Language

Italian

Scientific Disciplinary Sector (SSD)

MED/01 - MEDICAL STATISTICS

Period

1 SEMESTRE PROFESSIONI SANITARIE dal Oct 3, 2022 al Dec 23, 2022.

Lessons timetable Moodle Seminars

To show the organization of the course that includes this module, follow this link:  Course organization

Learning objectives

The aim of the course is to provide the theoretical and practical tools for assessing the frequency of diseases in human populations and the associated risk factors. The course therefore aims to provide expertise in epidemiology and bio-statistics. At the end of the course, the student must demonstrate to have understood the basic bio-statistical methods applied to epidemiology and the elements of an epidemiological study.

Program

Collection and organization of biomedical data:
- stages of a scientific study;
- population, sample and statistical units;
- measurement process and measurement scales;
- validity, accuracy and precision of a measuring instrument;
- absolute, relative and cumulative frequencies;
- one and two-way frequency tables.
Graphical representation of biomedical data:
- pie chart;
- bar chart;
- histogram;
- cumulative frequency polygon.
Measures of location and dispersion:
- mode;
- percentiles and median;
- simple and weighted arithmetic mean;
- range;
- interquartile range;
- deviance, variance and standard deviation.
An introduction to probability theory:
- definition of probability;
- axiomatic theory of probabilities;
- rules of probability calculation;
- independent and conditional probabilities;
- Bernoulli and Gauss distributions.
Diagnostic and screening tests:
- sensitivity and specificity.
The objects of epidemiology:
- outcome;
- measures of disease frequency (prevalence, cumulative incidence, incidence rate);
- determinant.
The occurrence relationship:
- measures of absolute effect (attributable risk);
- measures of relative effect (relative risk, odds ratio).
The epidemiological studies:
- ecological study;
- cross-sectional study;
- case-control study;
- cohort study;
- clinical trial.
An introduction to statistical inference:
- point estimate;
- confidence interval;
- statistical test.

Bibliography

Didactic methods

The module is structured in theoretical frontal lessons (24 hours). The teaching material (slides of the lessons, exercises) is made available to the students on the e-learning web page of the course (Moodle platform).
The students in isolation and/or quarantine for COVID-19 are allowed the access to lessons via ZOOM (in synchronous mode), after sending the lecturer the form to self-certify their positivity.

Learning assessment procedures

The final exam is a written test with short answer questions and multiple choice questions (test duration: 2 hours). The aim of the test is to verify the knowledge of all the topics discussed and the ability to solve exercises.

Evaluation criteria

The written test consists of linked questions related to solving exercises and understanding the theory. Each question is assigned a score. The grade of the test (expressed in thirtieths) is given by the sum of the scores obtained in the individual questions. The test is considered passed if the student gains a minimum grade of 18/30.

Exam language

Italiano