It is intended that, with this course, students acquire basic skills for performing and interpreting relevant statistical tests in the health sciences. It is also intended that students acquire area specific vocabulary and the skills to understand scientific literature and write statistical reports. The course's learning outcomes:
1. Know the relevant statistical methods in health sciences.
2. Select and apply the appropriate statistical procedures to the research goals.
3. Develop skills in data analysis software.
4. Acquire skills in interpreting the results.
5. Conduct studies where statistical procedures are applied.

  - IBM SPSS Statistics (Statistical Package for Social Sciences).

 - Theoretical and practical lectures (with e-learning component)
- Lectures will be complemented with computer-based problem solving practical exercises

 The contents of this course are divided into two phases. Initially introductory content related basics of Biostatistics are covered and in the second stage the contents are focused on hypothesis testing, specifically the application of parametric and non-parametric statistical procedures. The detailed program is as follows:

Basics of Biostatistics
1. Sampling procedures
2. Descriptive statistics
3. Probability theory
4. Estimation Theory: point estimation and interval estimation
5. Introduction to hypothesis testing

Hypothesis testing
Parametric tests
1. Student's t tests
2. Analysis of Variance (ANOVA)
3. Correlation and simple linear regression
4. Multiple Linear Regression
5. Multiple Logistic Regression

Non-parametric tests: use of alternative to parametric tests
1. Hypothesis testing for nominal and ordinal data
2. Measures of association for nominal and ordinal data

 - Students must carry a storage device for recording working files (pen drive);
- Validate, before classes, the access to computers in the School of Medicine.

This course does not provide credentials for the exercise of medicine for those without appropriate training, recognition and registered at the "Ordem dos Médicos".​