Predictive Margins with Survey Data

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ID: 301882
1999
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Abstract
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).
Reference Key
openalex_W2090910599 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Barry I. Graubard, Edward L. Korn
Journal biometrics
Year 1999
DOI
10.1111/j.0006-341x.1999.00652.x
URL
https://doi.org/10.1111/j.0006-341x.1999.00652.x
Keywords Keywords not found

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