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SAPU-L6525

Biostatistics in public health : part I

academic year
2025-2026
2026-2027

Course teacher(s)

Samuel Salvaggio (Coordinator)

ECTS credits

5

Language(s) of instruction

english

Course content

 

  • A-Biostatistics: (S. Salvaggio)

Basic concepts and methods of statistics with illustrations from health sciences; descriptive statistics, graphical representations, probability, random variables, normal distribution, binomial distribution, and inferences (estimations and hypothesis testing including t-tests, chi-square tests, and Mc Nemar test).

  • B-Data Management and analysis with R (S. Farag)

Introduction to the use of the statistical software R.
R studio, data entry, editing and organizing datasets, exploring datasets, manipulation of variables, graphical displays and data analysis.

Objectives (and/or specific learning outcomes)

To provide an understanding of basic concepts in statistics and introduction to a statistical software package use for data processing and statistical analysis. Emphasizes applications in health sciences. The course fosters ability of students to select relevant analysis techniques, synthesize knowledge, and apply insights to address public health problems.

Teaching methods and learning activities

A- Biostatistics

The course consists of state of the art lectures, interactive case presentations, group discussions and practical exercises.

B- Data management and analysis with R

The course consists of practical exercises with real world data.

References, bibliography, and recommended reading

See recommendations given during the lessons

Contribution to the teaching profile

Contribution to

  • SKILL 1. Applying a corpus of pluridisciplinary methodological knowledge to the analysis of various public health issues , specifically « Analyse data gathered using appropriate methods » and « Evaluate the quality and limits of the methods used to gather, save, analyse, and share research data »

  • SKILL 3. Organising individual and collective work in collaboration with various partners, more specifically « Plan work in order to achieve results within the intended timeframe » and « Work as part of a team, with shared tasks and group dynamics »

Other information

Contacts

Samuel Salvaggio (samuel.salvaggio@ulb.be)

Campus

Erasme

Evaluation

Method(s) of evaluation

  • Other

Other

Lectures in biostatistics: individual sitting exam

Mark calculation method (including weighting of intermediary marks)

The mean score should be superior or equal to 10/20 overall to pass the Learning Unit at the 1st session.

Language(s) of evaluation

  • english

Programmes