Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach.
Publication
, Journal Article
Kosinski, AS; Flanders, WD
Published in: Stat Med
October 30, 1999
Misclassification of exposure can lead to biased results in the epidemiologic research. Available methods accounting for misclassification often require the use of a gold standard or assume non-differential misclassification of exposure. We present a regression approach which can detect and account for different types of misclassification when estimating the exposure and disease relationship. This approach uses two imperfect measures of a dichotomous exposure and does not require a gold standard. Standard statistical packages with a logistic regression module can be used for estimation of parameters through the EM algorithm process. Two examples are used to illustrate the methodology.
Duke Scholars
Published In
Stat Med
DOI
ISSN
0277-6715
Publication Date
October 30, 1999
Volume
18
Issue
20
Start / End Page
2795 / 2808
Location
England
Related Subject Headings
- Tomography, Emission-Computed, Single-Photon
- Statistics & Probability
- Regression Analysis
- Randomized Controlled Trials as Topic
- Male
- Likelihood Functions
- Humans
- Female
- Exercise Test
- Coronary Disease
Citation
APA
Chicago
ICMJE
MLA
NLM
Kosinski, A. S., & Flanders, W. D. (1999). Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach. Stat Med, 18(20), 2795–2808. https://doi.org/10.1002/(sici)1097-0258(19991030)18:20<2795::aid-sim192>3.0.co;2-s
Kosinski, A. S., and W. D. Flanders. “Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach.” Stat Med 18, no. 20 (October 30, 1999): 2795–2808. https://doi.org/10.1002/(sici)1097-0258(19991030)18:20<2795::aid-sim192>3.0.co;2-s.
Kosinski AS, Flanders WD. Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach. Stat Med. 1999 Oct 30;18(20):2795–808.
Kosinski, A. S., and W. D. Flanders. “Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach.” Stat Med, vol. 18, no. 20, Oct. 1999, pp. 2795–808. Pubmed, doi:10.1002/(sici)1097-0258(19991030)18:20<2795::aid-sim192>3.0.co;2-s.
Kosinski AS, Flanders WD. Evaluating the exposure and disease relationship with adjustment for different types of exposure misclassification: a regression approach. Stat Med. 1999 Oct 30;18(20):2795–2808.
Published In
Stat Med
DOI
ISSN
0277-6715
Publication Date
October 30, 1999
Volume
18
Issue
20
Start / End Page
2795 / 2808
Location
England
Related Subject Headings
- Tomography, Emission-Computed, Single-Photon
- Statistics & Probability
- Regression Analysis
- Randomized Controlled Trials as Topic
- Male
- Likelihood Functions
- Humans
- Female
- Exercise Test
- Coronary Disease