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BINOMIAL REGRESSION IN GLIM: ESTIMATING RISK RATIOS AND RISK DIFFERENCES1
Abstract
Although an estimate of the odds ratio adjusted for other covariates can be obtained by logistic regression, until now there has been no simple way to estimate other interesting parameters such as the risk ratio and risk difference multivariately for prospective binomial data. These parameters can be estimated in the generalized linear model framework by choosing different link functions or transformations of binomial or binary data. Macros for use with the program GLIM provide a simple method to compute parameters other than the odds ratio while adjusting for confounding factors. A data set presented previously is used as an example.
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Citations
Cited by
Zhang, J., & Yu, K. F. (1998) · JAMA · doi:10.1001/jama.280.19.1690 · Cited by 4,138
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Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation
Hanley, J. A. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwf215 · Cited by 2,185
Estimating the Relative Risk in Cohort Studies and Clinical Trials of Common Outcomes
McNutt, L.-A. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg074 · Cited by 2,096
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Felson, D. T., Anderson, J. J., Naimark, A., Walker, A. M., & Meenan, R. F. (1988) · Annals of Internal Medicine · doi:10.7326/0003-4819-109-1-18 · Cited by 1,080
Metadata
- Authors
- WACHOLDER, S.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1986-01
- Volume
- 123
- Issue
- 1
- Pages
- 174-184
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2144422782
- Cited by
- 623
- References
- 0
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: BINOMIAL REGRESSION IN GLIM: ESTIMATING RISK RATIOS AND RISK DIFFERENCES1. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a114212
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- WACHOLDER, S. (1986). BINOMIAL REGRESSION IN GLIM: ESTIMATING RISK RATIOS AND RISK DIFFERENCES1. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a114212
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