EPIDEMIOLOGICAL AND CLINICAL METHODS IN ONCOLOGY
Basic knowledge of mathematics, including concepts of differential calculus (derivatives)
Presentation and discussion of published papers by students
The primary goal of the course is to provide the students with a deep insight on fundamentals entities and study design options of the cancer epidemiology as an observational disciplineLEARNING OUTCOMES
the end of the course, students should be able to:
1. Manage the fundamental entities of Epidemiology: rates, risk and rate ratios
2. Understand the pros and cons of the epidemiological approach
3. Read and criticise an epidemiological study
4. Understand criticise a report on a clinical trial
5. Choose between different options to carry out an epidemiological study
A definition of the discipline (with examples)
Population models Basic measures of occurrence
[incidence_prevalence]
Causality
Ecologic and analytical studies
The cohort approach
Case-control studies
Randomized clinical trials
Logistic models, data structures and analysis
Course slides and extracts provided by the teacher from:
Breslow and Day. Statistical methods in Cancer Research, IARC Lyon France
Rothman: Modern Epidemiology, LWW, 2008
Lectures with interaction with students