This lecture gives you an overview and maybe a fresh-up about some basics of epidemiology.
Topics
EPIDEMIOLOGY I
- Introduction into epidemiological reasoning and tools
- Key terms
- Examples for epidemiological research studies (from “Snow” to NaKo)
EPIDEMIOLOGY II
- Measures of disease occurrence
- Measures of disease association
EPIDEMIOLOGY III
- Key study designs – and when to use what
EPIDEMIOLOGY IV
- Systematic and random error
- Confounding
- Bias
- Effect Modification
Methodology:Theoretical and practical input by the lecturer, examples, exercises, discussions.
Lecturer: Prof. Dr. Susanne Singer, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz
Target audience: Doctoral students, postdocs, and clinician scientists
Minimum / maximum number of participants: 8 /
20
Next workshop: TBA
Venue: Seminar room at IMBEI, Rhabanusstraße 3, Bonifatiusturm A