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Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse
Abstract
Several multiple imputation techniques are described for simple random samples with ignorable nonresponse on a scalar outcome variable. The methods are compared using both analytic and Monte Carlo results concerning coverages of the resulting intervals for the population mean. Using m = 2 imputations per missing value gives accurate coverages in common cases and is clearly superior to single imputation (m = 1) in all cases. The performances of the methods for various m can be predicted well by linear interpolation in 1/(m — 1) between the results for m = 2 and m = ∞. As a rough guide, to assure coverages of interval estimates within 2% of the nominal level when using the preferred methods, the number of imputations per missing value should increase from 2 to 3 as the nonresponse rate increases from 10% to 60%.
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Citations
Cites
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Self-citationAn Approximate Distribution of Estimates of Variance Components
Satterthwaite, F. E. (1946) · Biometrics Bulletin · doi:10.2307/3002019 · Cited by 4,373
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-citationAmelia II: A Program for Missing Data
Honaker, J., King, G., & Blackwell, M. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i07 · Cited by 2,552
Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation
King, G., Honaker, J., Joseph, A., & Scheve, K. (2001) · American Political Science Review · doi:10.1017/s0003055401000235 · Cited by 1,834
4. Regression with Missing Ys: An Improved Strategy for Analyzing Multiply Imputed Data
von Hippel, P. T. (2007) · Sociological Methodology · doi:10.1111/j.1467-9531.2007.00180.x · Cited by 1,495
A Review of Hot Deck Imputation for Survey Non‐response
Andridge, R. R., & Little, R. J. A. (2010) · International Statistical Review · doi:10.1111/j.1751-5823.2010.00103.x · Cited by 1,077
Metadata
- Authors
- Rubin, D. B., & Schenker, N.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1986-06
- Volume
- 81
- Issue
- 394
- Pages
- 366-374
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W1965268674
- Cited by
- 766
- References
- 2
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rubin, D. B., & Schenker, N. (1986). Multiple Imputation for Interval Estimation from Simple Random Samples with Ignorable Nonresponse. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1986.10478280
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