The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Multiple imputation in health‐are databases: An overview and some applications
Abstract
Multiple imputation for non‐response replaces each missing value by two or more plausible values. The values can be chosen to represent both uncertainty about the reasons for non‐response and uncertainty about which values to impute assuming the reasons for non‐response are known. This paper provides an overview of methods for creating and analysing multiply‐imputed data sets, and illustrates the dramatic improvements possible when using multiple rather than single imputation. A major application of multiple imputation to public‐use files from the 1970 census is discussed, and several exploratory studies related to health care that have used multiple imputation are described.
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Citations
Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Self-citation
Cited by
Multiple imputation after 18+ years
Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476908 · Cited by 4,072
Self-citationMultiple imputation of discrete and continuous data by fully conditional specification
van Buuren, S. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206074463 · Cited by 2,827
Marshall, A., Altman, D. G., Holder, R. L., & Royston, P. (2009) · BMC Medical Research Methodology · doi:10.1186/1471-2288-9-57 · Cited by 874
Little, R. J., & Rubin, D. B. (2000) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.21.1.121 · Cited by 721
Self-citationIkramuddin, S., Korner, J., Lee, W.-J., Connett, J. E., Inabnet, W. B., Billington, C. J., Thomas, A. J., Leslie, D. B., Chong, K., Jeffery, R. W., et al. (2013) · JAMA · doi:10.1001/jama.2013.5835 · Cited by 735
Metadata
- Authors
- Rubin, D. B., & Schenker, N.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1991-04
- Volume
- 10
- Issue
- 4
- Pages
- 585-598
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2158985195
- Cited by
- 1,550
- References
- 1
- FWCI
- 5.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rubin, D. B., & Schenker, N. (1991). Multiple imputation in health‐are databases: An overview and some applications. Statistics in Medicine. https://doi.org/10.1002/sim.4780100410
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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.
