Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data
Publication
, Journal Article
Lott, A; Reiter, JP
Published in: American Statistician
April 2, 2020
We present a Wilson interval for binomial proportions for use with multiple imputation for missing data. Using simulation studies, we show that it can have better repeated sampling properties than the usual confidence interval for binomial proportions based on Rubin’s combining rules. Further, in contrast to the usual multiple imputation confidence interval for proportions, the multiple imputation Wilson interval is always bounded by zero and one. Supplementary material is available online.
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Published In
American Statistician
DOI
EISSN
1537-2731
ISSN
0003-1305
Publication Date
April 2, 2020
Volume
74
Issue
2
Start / End Page
109 / 115
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 0104 Statistics
Citation
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Lott, A., & Reiter, J. P. (2020). Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data. American Statistician, 74(2), 109–115. https://doi.org/10.1080/00031305.2018.1473796
Lott, A., and J. P. Reiter. “Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data.” American Statistician 74, no. 2 (April 2, 2020): 109–15. https://doi.org/10.1080/00031305.2018.1473796.
Lott A, Reiter JP. Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data. American Statistician. 2020 Apr 2;74(2):109–15.
Lott, A., and J. P. Reiter. “Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data.” American Statistician, vol. 74, no. 2, Apr. 2020, pp. 109–15. Scopus, doi:10.1080/00031305.2018.1473796.
Lott A, Reiter JP. Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data. American Statistician. 2020 Apr 2;74(2):109–115.
Published In
American Statistician
DOI
EISSN
1537-2731
ISSN
0003-1305
Publication Date
April 2, 2020
Volume
74
Issue
2
Start / End Page
109 / 115
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 0104 Statistics