This article has multiple issues. Please help to improve it or discuss these issues on the talk page. (Learn how and when to remove these template messages)
- Bring more statistical rigour to bear in the field of epidemiology
- Recognise the importance of applied statistics, especially with respect to the context in which statistical methods are appropriate and inappropriate
- Aid and improve our interpretation of observations
The science of epidemiology has had enormous growth, particularly with charity and government funding. Many researchers have been trained to conduct studies, requiring multiple skills ranging from liaising with clinical staff to the statistical analysis of complex data, such as using Bayesian methods. The role of a Statistical Epidemiologist is to bring the most appropriate methods available to bear on observational study from medical research, requiring a broad appreciation of the underpinning methods and their context of applicability and interpretation.
The earliest mention of this phrase was in an article by EB Wilson, taking a critical look at the way in which statistical methods were developing and being applied in the science of epidemiology.
There are two Professors of Statistical Epidemiology in the United Kingdom (University of Leeds and Imperial College, London) and a Statistical Epidemiology group (Oxford University).
- Statistics in Medicine
- The International Journal of Biostatistics
- American Journal of Epidemiology
- International Journal of Epidemiology
- The International Biometric Society
- American Statistical Association
- Royal Statistical Society
- The Biostatistics Collaboration of Australia
- Wilson, E.B. (1963). "A critical look at statistical epidemiology". Cancer. 16: 510–5. doi:10.1002/1097-0142(196304)16:4<510::aid-cncr2820160412>3.0.co;2-l. PMID 14001013.
- Statistical Epidemiology webpage