The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
8. How to Impute Interactions, Squares, and other Transformed Variables
Abstract
Researchers often carry out regression analysis using data that have missing values. Missing values can be filled in using multiple imputation, but imputation is tricky if the regression includes interactions, squares, or other transformations of the regressors. In this paper, we examine different approaches to imputing transformed variables; and we find one simple method that works well across a variety of circumstances. Our recommendation is to transform, then impute—i.e., calculate the interactions or squares in the incomplete data and then impute these transformations like any other variable. The transform-then-impute method yields good regression estimates, even though the imputed values are often inconsistent with one another. It is tempting to try and “fix” the inconsistencies in the imputed values, but methods that do so lead to biased regression estimates. Such biased methods include the passive imputation strategy implemented by the popular ice command for Stata.
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Cited by
Multiple imputation using chained equations: Issues and guidance for practice
White, I. R., Royston, P., & Wood, A. M. (2011) · Statistics in Medicine · doi:10.1002/sim.4067 · Cited by 9,792
Missing Data in Clinical Research: A Tutorial on Multiple Imputation
Austin, P. C., White, I. R., Lee, D. S., & van Buuren, S. (2021) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2020.11.010 · Cited by 1,006
Bartlett, J. W., Seaman, S. R., White, I. R., Carpenter, J. R., & Initiative*, F. T. A. D. N. (2015) · Statistical Methods in Medical Research · doi:10.1177/0962280214521348 · Cited by 485
Multiple imputation as a flexible tool for missing data handling in clinical research
Enders, C. K. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.11.008 · Cited by 355
Linear and generalized linear mixed models
Bolker, B. M. (2015) · Ecological Statistics · doi:10.1093/acprof:oso/9780199672547.003.0014 · Cited by 339
Metadata
- Authors
- von Hippel, P. T.
- Venue
- Sociological Methodology
- Publisher
- SAGE Publications
- Published
- 2009-08
- Volume
- 39
- Issue
- 1
- Pages
- 265-291
- ISSN
- 0081-1750 (ISSN-L)
- 1467-9531
- OpenAlex
- W1997241682
- Cited by
- 419
- References
- 17
- FWCI
- 5.19
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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