Multiple Imputation: How It Began and Continues
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Cited by:
- Kilic, Talip & Zezza, Alberto & Carletto, Calogero & Savastano, Sara, 2017.
"Missing(ness) in Action: Selectivity Bias in GPS-Based Land Area Measurements,"
World Development, Elsevier, vol. 92(C), pages 143-157.
- Carletto,Calogero & Kilic,Talip & Savastano,Sara & Zezza,Alberto & Carletto,Calogero & Kilic,Talip & Savastano,Sara & Zezza,Alberto, 2013. "Missing(ness) in action : selectivity bias in GPS-based land area measurements," Policy Research Working Paper Series 6490, The World Bank.
- Cristina Giudici & Maria Arezzo & Nicolas Brouard, 2013. "Estimating health expectancy in presence of missing data: an application using HID survey," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 517-534, November.
- Stuart R. Lipsitz & Garrett M. Fitzmaurice & Roger D. Weiss, 2020. "Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 890-904, December.
- Hua Yun Chen & Hui Xie & Yi Qian, 2011. "Multiple Imputation for Missing Values through Conditional Semiparametric Odds Ratio Models," Biometrics, The International Biometric Society, vol. 67(3), pages 799-809, September.
- Florian Meinfelder, 2014. "Multiple Imputation: an attempt to retell the evolutionary process," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(4), pages 249-267, November.
- Yang Zhao & Meng Liu, 2021. "Unified approach for regression models with nonmonotone missing at random data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 105(1), pages 87-101, March.
- Nancy, Jane Y. & Khanna, Nehemiah H. & Arputharaj, Kannan, 2017. "Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework," Computational Statistics & Data Analysis, Elsevier, vol. 112(C), pages 63-79.
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