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Who Is at Risk of What?

Published online by Cambridge University Press:  02 January 2015

David Birnbaum
David Birnbaum*
Affiliation:
Applied Epidemiology, Sidney, British Columbia, Canada
*
Applied Epidemiology, 609 Cromar Rd, RR1, Sidney, British Columbia V8L 5M5, Canada
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Abstract

If you have calculated the sample size required for an employee survey or an observational study of departmental practices but found that the number of observations required is larger than the number of employees, chances are the error is due to use of approximation formulae. Many of us unknowingly were taught to use approximations that fail to include the finite population correction factor. Depending on the objective of a study and the proportion of a population sampled, it may be necessary to consider this correction factor in order to estimate standard error and sample size accurately.

Information

Type
Statistics for Hospital Epidemiology
Information
Infection Control & Hospital Epidemiology , Volume 20 , Issue 10 , October 1999 , pp. 706 - 707
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1999

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References

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