Estimating Prevalence Using an Imperfect Test
Author
Source
Epidemiology Research International
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-23
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
The standard estimate of prevalence is the proportion of positive results obtained from the application of a diagnostic test to a random sample of individuals drawn from the population of interest.
When the diagnostic test is imperfect, this estimate is biased.
We give simple formulae, previously described by Greenland (1996) for correcting the bias and for calculating confidence intervals for the prevalence when the sensitivity and specificity of the test are known.
We suggest a Bayesian method for constructing credible intervals for the prevalence when sensitivity and specificity are unknown.
We provide R code to implement the method.
American Psychological Association (APA)
Diggle, Peter J.. 2011. Estimating Prevalence Using an Imperfect Test. Epidemiology Research International،Vol. 2011, no. 2011, pp.1-5.
https://search.emarefa.net/detail/BIM-484784
Modern Language Association (MLA)
Diggle, Peter J.. Estimating Prevalence Using an Imperfect Test. Epidemiology Research International No. 2011 (2011), pp.1-5.
https://search.emarefa.net/detail/BIM-484784
American Medical Association (AMA)
Diggle, Peter J.. Estimating Prevalence Using an Imperfect Test. Epidemiology Research International. 2011. Vol. 2011, no. 2011, pp.1-5.
https://search.emarefa.net/detail/BIM-484784
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484784
