Advanced Statistics for Public Health Practitioners


Analyze survival data and know how to interpret the statistical results.
Understand the epidemiological concepts of confounding and effect modification in statistical analysis.
To make multiple logistic regression, multiple Poisson regression and multiple Cox regression, interpret there results and to select the adequate regression analysis according to the research situation.

General characterization





Responsible teacher

Available soon


Weekly - Available soon

Total - 20

Teaching language



Available soon


Aguiar P (2007). Guia Prático Climepsi de Estatística em Investigação Epidemiológica. Lisboa: Climepsi Editores.
Fletcher, R., Fletcher, W., (2005). Clinical epidemiology: the essentials. Baltimore: Lippincott Williams & Wilkins.
Gordis L (2014). Epidemiology 5th ed. Elsevier Saunders.
Oliveira AG (2009). Bioestatistica, Epidemiologia e Investigação – Teoria e Aplicações. Lisboa: Lidel.
Rothman K. Greenland S. Lash T.L. (2008) Modern Epidemiology 3rd ed. Philadelphia, PA. Lippincot Williams & Wilkins.

Teaching method

Theoretical sessions with slides presentation.
Discussion of published papers on epidemiology and health research.
Data analysis with SPSS.
Group work and individual test weighted by 25% the group work and 75% the individual test.

Evaluation method

Available soon

Subject matter

Kaplan Meier survival analysis; survival proportion, cumulative incidence, median survival, log rank test
Adjusted effect and interaction in regression and stratified analysis
Multiple logistic regression; adjusted Odds Ratio.
Multiple Poisson regression; adjusted Relative Risk.
Multiple Cox regression; adjusted Hazard Ratio
Case study in SPSS


Programs where the course is taught: