Have statistical knowledge to solve health research with descriptive and inferential statistical methods.

Distinguish between sample and population issues.

Have SPSS skills to manage data, make statistical analysis and interpretation of statistical results in health research.

Design a data analysis plan, report and interpret the statistical analysis results.


General characterization





Responsible teacher

Pedro Manuel Vargues Aguiar


Weekly - Available soon

Total - 50

Teaching language



Available soon


Afonso A., Nunes C.(2010). Estatística e Probabilidades: aplicações e soluções. Escolar Editora (in press).

Aguiar, P. (2007). Guia prático climepsi de estatística em investigação epidemiológica. Lisboa: Climepsi editores.

Altman, D.G.(1991). Practical statistics for medical research. London Chapman & Hall.

Artmitage P, Berry G, Matthwes (2009). Statistical methods in medical research. Fourt edition. Blackwell science.

Szklo M and Javier Neto F (2014). Epidemiology: beyond the basics. Third edition. Jones e Bartlett Learning. 

Teaching method

Theoretical and practical sessions of statistical concepts and case study in health with SPSS (an introduction to the R software will also be performed).

Evaluation made by an individual test and group work (if applicable). 

Evaluation method

Available soon

Subject matter

Make a data structure in SPSS and practice of data management.

Introduction to sample size and sampling scheme definition according to the epidemiologic study design.

Descriptive statistics: frequency tables, graphs, central and dispersion measures.

Confidence intervals and hypothesis tests, Type I and type II errors, p-value.

Chi-square test, t test, ANOVA, correlation analysis and introduction to regression modelling (linear, logistic and Poisson).

Design of data analysis plan.

Report and interpretation of the health research results. 


Programs where the course is taught: