Theory and Methods in Epidemiology and Biostatistics
After the course students should be able to:
- · To demonstrate a basic understanding of epidemiologic and statistical methods in a research project;
- · To calculate, interpret and summarize the results of the descriptive statistics and exploratory data analysis for the purpose of scientific publications;
- · To choose and perform statistical hypothesis tests (parametric and non-parametric), providing a critical interpretation of results and given a particular attention to the assumptions of each test;
- · To estimate the sensitivity and specificity of the diagnostic tests;
- · To discuss the study design, merits and limitations of an epidemiological study.
Luzia Augusta Pires Gonçalves
Weekly - 1
Total - 20
Written Exam (100%)
This exam (max: 2 hours) includes different type of questions (e.g. multiple choice, true/false and essay questions).
1. The role of the Epidemiology and Biostatistics in biomedical research. Descriptive statistics and exploratory data analysis.
2. Statistical inference: estimation of parameters, hypothesis testing. Assumptions and cautions with results. Parametric tests vs non-parametric tests.
3. Epidemiological principles in clinic research. Different types of studies.
4. Diagnostic tests: estimation of sensitivity, specificity and predictive values.
5. Incidence and prevalence. Risk and measures of association. Error, bias, casual inference, interaction and confounding.
Programs where the course is taught: