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Computing Adjusted Risk Ratios and Risk Differences in Stata
Open accessAbstract
In this article, we explain how to calculate adjusted risk ratios and risk differences when reporting results from logit, probit, and related nonlinear models. Building on Stata's margins command, we create a new postestimation command, adjrr, that calculates adjusted risk ratios and adjusted risk differences after running a logit or probit model with a binary, a multinomial, or an ordered outcome. adjrr reports the point estimates, delta-method standard errors, and 95% confidence intervals and can compute these for specific values of the variable of interest. It automatically adjusts for complex survey design as in the fit model. Data from the Medical Expenditure Panel Survey and the National Health and Nutrition Examination Survey are used to illustrate multiple applications of the command.
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Cited by
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Adams, R., Henry, K. E., Sridharan, A., Soleimani, H., Zhan, A., Rawat, N., Johnson, L., Hager, D. N., Cosgrove, S. E., Markowski, A., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01894-0 · Cited by 365
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Boehmer, T. K., Kompaniyets, L., Lavery, A. M., Hsu, J., Ko, J. Y., Yusuf, H., Romano, S. D., Gundlapalli, A. V., Oster, M. E., & Harris, A. M. (2021) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm7035e5 · Cited by 310
Metadata
- Authors
- Norton, E. C., Miller, M. M., & Kleinman, L. C.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2013-09
- Volume
- 13
- Issue
- 3
- Pages
- 492-509
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W21944932
- Cited by
- 300
- References
- 0
- FWCI
- 9.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Norton, E. C., Miller, M. M., & Kleinman, L. C. (2013). Computing Adjusted Risk Ratios and Risk Differences in Stata. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x1301300304
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.