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A Note on Bayesian Inference After Multiple Imputation

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  • Zhou, Xiang
  • Reiter, Jerome P.

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  • Zhou, Xiang & Reiter, Jerome P., 2010. "A Note on Bayesian Inference After Multiple Imputation," The American Statistician, American Statistical Association, vol. 64(2), pages 159-163.
    • Handle: RePEc:bes:amstat:v:64:i:2:y:2010:p:159-163
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/tast.2010.09109
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    Citations

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    Cited by:

    1. Lane F. Burgette & Jerome P. Reiter, 2012. "Modeling Adverse Birth Outcomes via Confirmatory Factor Quantile Regression," Biometrics, The International Biometric Society, vol. 68(1), pages 92-100, March.
    2. Jörg Drechsler, 2015. "Multiple Imputation of Multilevel Missing Data—Rigor Versus Simplicity," Journal of Educational and Behavioral Statistics, , vol. 40(1), pages 69-95, February.
    3. Maël Leroux & Anne M. Schel & Claudia Wilke & Bosco Chandia & Klaus Zuberbühler & Katie E. Slocombe & Simon W. Townsend, 2023. "Call combinations and compositional processing in wild chimpanzees," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    4. David Kaplan & Jianshen Chen & Sinan Yavuz & Weicong Lyu, 2023. "Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments," Psychometrika, Springer;The Psychometric Society, vol. 88(1), pages 1-30, March.
    5. Harrison Quick & Scott H. Holan & Christopher K. Wikle, 2018. "Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(3), pages 649-661, June.
    6. Adrian Rauchfleisch & Mike S Schäfer & Dario Siegen, 2021. "Beyond the ivory tower: Measuring and explaining academic engagement with journalists, politicians and industry representatives among Swiss professorss," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-20, May.
    7. Albert Vexler & Li Zou & Alan D. Hutson, 2016. "Data-Driven Confidence Interval Estimation Incorporating Prior Information with an Adjustment for Skewed Data," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 243-249, July.
    8. Rashid, S. & Mitra, R. & Steele, R.J., 2015. "Using mixtures of t densities to make inferences in the presence of missing data with a small number of multiply imputed data sets," Computational Statistics & Data Analysis, Elsevier, vol. 92(C), pages 84-96.
    9. Vexler, Albert & Zou, Li & Hutson, Alan D., 2019. "The empirical likelihood prior applied to bias reduction of general estimating equations," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 96-106.
    10. Tanja Laukkala & Tom Rosenström & Anu Kantele, 2022. "A Two-Week Vacation in the Tropics and Psychological Well-Being—An Observational Follow-Up Study," IJERPH, MDPI, vol. 19(16), pages 1-9, August.

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