The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Predictive Margins with Survey Data
Abstract
Summary. In the analysis of covariance, the display of adjusted treatment means allows one to compare mean (treatment) group outcomes controlling for different covariate distributions in the groups. Predictive margins are a generalization of adjusted treatment means to nonlinear models. The predictive margin for group r represents the average predicted response if everyone in the sample had been in group r. This paper discusses the use of predictive margins with complex survey data, where an important consideration is the choice of covariate distribution used to standardize the predictive margin. It is suggested that the textbook formula for the standard error of an adjusted treatment mean from the analysis of covariance may be inappropriate for applications involving survey data. Applications are given using data from the 1992 National Health Interview Survey (NHIS) and the Epidemiologic Followup Study to the first National Health and Nutrition Examination Survey (NHANES I).
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Cites
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Cited by
A tutorial on propensity score estimation for multiple treatments using generalized boosted models
McCaffrey, D. F., Griffin, B. A., Almirall, D., Slaughter, M. E., Ramchand, R., & Burgette, L. F. (2013) · Statistics in Medicine · doi:10.1002/sim.5753 · Cited by 1,450
Smith-Bindman, R., Miglioretti, D. L., Johnson, E., Lee, C., Feigelson, H. S., Flynn, M., Greenlee, R. T., Kruger, R. L., Hornbrook, M. C., Roblin, D., et al. (2012) · JAMA · doi:10.1001/jama.2012.5960 · Cited by 898
Prevalence of Diabetes by Race and Ethnicity in the United States, 2011-2016
Cheng, Y. J., Kanaya, A. M., Araneta, M. R. G., Saydah, S. H., Kahn, H. S., Gregg, E. W., Fujimoto, W. Y., & Imperatore, G. (2019) · JAMA · doi:10.1001/jama.2019.19365 · Cited by 713
Potosky, A. L., Davis, W. W., Hoffman, R. M., Stanford, J. L., Stephenson, R. A., Penson, D. F., & Harlan, L. C. (2004) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djh259 · Cited by 680
Qato, D. M., Wilder, J., Schumm, L. P., Gillet, V., & Alexander, G. C. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.8581 · Cited by 658
Metadata
- Authors
- Graubard, B. I., & Korn, E. L.
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-06
- Volume
- 55
- Issue
- 2
- Pages
- 652-659
- ISSN
- 0006-341X (ISSN-L)
- 1541-0420
- OpenAlex
- W2090910599
- Cited by
- 871
- References
- 17
- FWCI
- 6.12
- Type
- journal article
- Language
- en
- Open access
- closed
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