Skip Navigation

This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (26)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by NEUTRA, R. R.
Right arrow Articles by DROLETTE, M. E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by NEUTRA, R. R.
Right arrow Articles by DROLETTE, M. E.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Vol. 108, No. 3: 214-222
Copyright © 1978 by The Johns Hopkins University School of Hygiene and Public Health

other

ESTIMATING EXPOSURE-SPECIFIC DISEASE RATES FROM CASECONTROL STUDIES USING BAYES' THEOREM

RAYMOND R. NEUTRA1, and MARGARET E. DROLETTE2

1Division of Epidemiology, UCLA School of Public Health Los Angeles, CA 90024
2Department of Biostatistics, Harvard School of Public Health Boston, MA

1address for reprint requests.

The methods used for selecting subjects yield three types of case-control studies: 1) incident cases are compared to non-cases chosen to be representative of the exposure distribution among the person-years which produced the cases. In this type of study the exposure-odds ratio equals the incidence density ratio; 2) Incident cases are compared to residual non-cases at the end of the risk period (exposure-odds ratio = cumulative Incidence-odds ratio); 3) prevalent cases are compared to non-cases (exposure-odds ratio = prevalence-odds ratio). In study type 1 the equivalence of odds ratio to rate ratio requires no "rare disease assumption;" this permits estimation of exposure-specific illness rates when the overall rate Is known. In study types 2 and 3 the exposure-odds ratio equals the corresponding rate ratios only when exposure-specific rates are low. Nonetheless, exposure-specific rates can be calculated without making any rare disease assumption using Bayes' theorem and Information on the overall disease rate. A method for obtaining approximate confidence limits around the exposure-specific rates is presented.

biometry; epidemiologlc methods; retrospective studies; statistics


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Hispanic Journal of Behavioral SciencesHome page
J. C. Anduaga, C. G. Forteza, and L. R. Lira
Concurrent Validity of the DIS: Experience With Psychiatric Patients in Mexico City
Hispanic Journal of Behavioral Sciences, February 1, 1991; 13(1): 63 - 77.
[Abstract]

Home page
 JAMAHome page
R. W. Sattin, G. L. Rubin, L. A. Webster, C. M. Huezo, P. A. Wingo, H. W. Ory, and P. M. Layde
Family History and the Risk of Breast Cancer
JAMA, April 5, 1985; 253(13): 1908 - 1913.
[Abstract] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.