Wilson Confidence Intervals for Binomial Proportions With Multiple Imputation for Missing Data

DOI10.1080/00031305.2018.1473796OpenAlexW2804399971MaRDI QIDQ5869260

Anne Lott, Jerome P. Reiter

Publication date: 28 September 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2018.1473796

zbMATH Keywords

binomialmissingproportionincomplete

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Difference Between Binomial Proportions Using Newcombe’s Method With Multiple Imputation for Incomplete Data ⋮ Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles

Cites Work

• Interval estimation for a binomial proportion. (With comments and a rejoinder).
• Fully conditional specification in multivariate imputation
• Inference and missing data
• Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
• An Empirical Comparison of Multiple Imputation Methods for Categorical Data
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