Jump to: Page Content, Site Navigation, Site Search,
You are seeing this message because your web browser does not support basic web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.
Published 19 November 2008, doi:10.1136/bmj.a2600
Cite this as: BMJ 2008;337:a2600
John Fletcher, clinical epidemiologist
1 BMJ, London WC1H 9JR
jfletcher{at}bmj.com
The average number of suicides reported each month in one county last year was 3.2. To compare numbers of suicides between months, calculating P values or confidence intervals, which probability distribution would be most appropriate to use?
C—the Poisson distribution describes the occurrence of rare events happening at random in a large population, which fits the bill here. It is also necessary to check that there are not linkages between the suicides, or clustering, as this will affect the interpretation of the expected probabilities. The Poisson distribution is helpful for "back of the envelope" calculations because, when the number of events is reasonably large, the standard deviation of the distribution is the same number as the mean. (Technically the binomial distribution could be used but it requires long calculations of large numbers.)
Cite this as: BMJ 2008;337:a2600