Abstract
Several methods have been proposed for standardizing risks, risk ratios, and risk differences based on the results of logistic regression. These methods provide an alternative to direct standardization, a particularly useful approach when there are many covariates. In this paper, methods for calculating approximate confidence limits for these standardized measures are presented. A simple example, in which published data are used, illustrates the techniques and allows comparison with confidence limits calculated from the directly standardized risk ratio.
Keywords
Confidence intervalLogistic regressionCovariateStatisticsRisk assessmentStandardizationMedicineMathematicsComputer science
MeSH Terms
AgedDiseaseEpidemiologic MethodsHumansMiddle AgedProbabilityRiskSoftware
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Publication Info
- Year
- 1987
- Type
- article
- Volume
- 40
- Issue
- 7
- Pages
- 697-704
- Citations
- 101
- Access
- Closed
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Cite This
W. Dana Flanders,
Philip Rhodes
(1987).
Large sample confidence intervals for regression standardized risks, risk ratios, and risk differences.
Journal of Chronic Diseases
, 40
(7)
, 697-704.
https://doi.org/10.1016/0021-9681(87)90106-8
Identifiers
- DOI
- 10.1016/0021-9681(87)90106-8
- PMID
- 3597672