Jonas Björk, e-mail firstname.lastname@example.org
Helena Jernström, e-mail email@example.com
Do you conduct patient- or population-based research using clinical, survey, registry or biobank data? Then this course is indispensable for you! The course is primarily intended for doctoral students at the Medical Faculty at Lund University, but it is also open for postdoctoral and senior researchers and other applicants if there are available slots.
Location and time
Autumn 2020: 15, 22, 28 and 29 September (08:30 – 16:00), 1 October 8:30-12:00
Spring 2021: The course will be given digitally (dates below)
13 April 8:30-16
20 April 8:30-16:30
23 April 8:30-12
26 April 8:30 -16:30 (16:30 home-exam will be sent out)
29 April 8:30 -12 written exam + exam workshop zoom 11-12
1,5 hp (part-time)
Number of participants
The course is held in English.
Applied Statistics I (or equivalent)
The overall aim of the course is to contribute to increased quality and impact of clinical and population-based research at Lund University by introduction of epidemiological reasoning and appropriate methods in all stages of such studies.
The course has three closely interrelated themes:
- Basic concepts and principles in epidemiology
- Overview of the rich variety of research questions where epidemiological reasoning can be applied
- Causal diagrams (DAGs) as a primary tool for etiologic research
- Data sources commonly used in epidemiology
2) Disease measures and associational measures – calculation, interpretation and communication
- Incidence and mortality rates. Disease risks. Prevalence proportions.
- Absolute and relative comparisons of disease outcomes (e.g. risk differences, relative risks and odds ratios)
- Etiologic fractions, life expectancy and DALY (Disability-adjusted life year)
3) Epidemiological studies – design, interpretation and how to avoid common pitfalls
- Studies of patient or general population cohorts. Studies of dynamic populations.
- Case-control studies
- Cross-sectional studies
This is a one week that is given part-time, i.e. five course days, with a mixture of interactive lectures, group discussions, and epidemiological ”journal clubs”. The course is designed to encourage critical epidemiological reasoning in all stages of the research process.
Active participation in all parts of the course. Written individual examination.
Rothman K. Epidemiology – an introduction. Oxford University Press, 2nd revised edition, 2012.