Objectives
- Know how to design a epidemiological study and define the effect and association measures
- Know how to validate a diagnostic test.
- To plan, analyze and make interpretation of the results of an epidemiological study.
- To define sample size and study power.
General characterization
Code
531002
Credits
9
Responsible teacher
Professor Doutor Pedro de Aguiar / Professora Doutora Andreia Leite
Hours
Weekly -
Available soon
Total -
Available soon
Teaching language
Portuguese
Prerequisites
Not applicable to
Bibliography
Aguiar P (2007). Estatística em Investigação Epidemiológica: guia prático de medicina. Lisboa: Climepsi Editores.
Celentano, D., Szklo, M. (2018). Gordis Epidemiology. 6th ed.Philadephia: Elsivier 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.
Case study of epidemiological research made in Portugal.
Data analysis with SPSS and OpenEpi.
Distance lessons with internet if applicable.
Evaluation method
Participation in the sessions (20%), Individual test (50%) and group work with class presentation (30%)
Subject matter
- Epidemiological research; study design and causality
- Effect and association measures in epidemiology: relative risk, odds ratio, relative benefit, number needed to treat, number needed to harm, incidence rate ratio
- Clinical trial phases I, II, III, IV
- Superiority versus non-inferiority clinical trials
- Diagnostic tests: sensitivity, specificity, predictive values and ROC curves
- Stratified analyses and logistic regression; confounding and effect modification
- Kaplan-Meier survival analysis and Cox regression
- Determination of the sample size and power in a clinical study.
- Case studies of clinical epidemiology
Programs
Programs where the course is taught:
