Introduction to Epidemiology
An online short course
This course aims to provide a grounding in epidemiological study designs and measures of disease risk used in aetiological epidemiology and health services research. Participants will gain practical experience in study design and the appraisal of epidemiological literature.
|Course date||22 - 26 February 2021|
|Course Organisers||Professor Peter Blair & Nick Turner|
Please ensure you meet the following prerequisites before booking:
|Knowledge||This course is intended for clinicians, researchers, public health specialists and other health care professionals who have only a basic understanding of epidemiology. Prior knowledge of basic medical statistics so that you understand findings published in peer-reviewed medical journals is important.|
- select the appropriate epidemiological study designs to investigate research questions;
- with expert advice, be able to design and undertake a case-control, cohort, ecological or cross-sectional study;
- list the strengths and weaknesses of randomised controlled trials (RCT) and case-control, cohort, ecological and cross-sectional studies;
- calculate incidence and prevalence and state which measure is most useful in a particular circumstance;
- calculate direct and indirect standardised mortality ratios and list advantages and disadvantages of each approach;
- explain confounding and interaction (effect modification);
- assess whether an exposure-disease association is likely to be due to chance, bias, reverse causality or confounding;
- explain the principles underlying sample size/power calculations; and
- critically appraise a published RCT, case-control, cohort, ecological or cross-sectional study.
Who the course is intended for
This course is intended for clinicians, researchers, public health specialists and other health care professionals who have only a basic understanding of epidemiology. Prior knowledge of basic medical statistics so that you understand findings published in peer-reviewed medical journals is important.
- exposure measurement and measures of disease occurrence (incidence, prevalence)
- measures of exposure effect (risk, rate and odds ratios)
- study designs (cross-sectional studies, case-control studies, cohort studies, ecological studies and randomised controlled trials)
- bias and confounding
- basic regression, interaction
- sample size calculations
- causal inference
- epidemiology and public health policy
There is no specific course book and the course notes are fairly comprehensive. However, for anyone interested in reading further in this area the following article on evidence-based medicine may be of interest:
Kell Williams, J. (2001) Understanding evidence-based medicine: A primer. Am. J. Obstet. Gynaecol. 185: 275-278
Online Course Bookings
Bookings are open for online courses running in 2021.
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We may need to make responsive changes to our courses at short notice in order to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).