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SAPU-L6525

Biostatistics in public health : part I

academic year
2024-2025
2025-2026

Course teacher(s)

Samuel Salvaggio (Coordinator)

ECTS credits

5

Language(s) of instruction

english

Course content

  • A-Biostatistics: (F. Kirakoya, Majda Talamakrouni) Basic concepts and methods of statistics with illustrations from health sciences; graphical and summary representations, probability, random variables, binomial distribution, normal distribution, estimation and hypothesis testing, including two-sample and paired t and chi-square tests, and Mc Nemar test.

  • B-Data Management and analysis with Stata (L. Larcin) Introduction to the use of the statistical software STATA. Stata environment, data entry, editing and organizing dataset, exploring dataset, 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 (STATA) 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 stata 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

Fati Kirakoya (fati.kirakoya@ulb.ac.be)

Campus

Erasme

Evaluation

Method(s) of evaluation

  • Other

Other

Biostatistics: sitting exam + data analysis project Data management and analysis with Stata: sitting exam

Mark calculation method (including weighting of intermediary marks)

A-Biostatistics: 80% (40% sitting exam + 40% data analysis project)
B-Data Management and analysis with Stata: 20%

The Unit is validated when the weighted average of all learning activities is >= 10/20.
When the Unit is not validated at the 1st session, the 2d session will include an examination regarding only the failed activity part(s) at the first session (<10/20). Marks equal or higher than 10/20 at the first session will automatically be reported at the 2d session.

Language(s) of evaluation

  • english

Programmes