IDEAS home Printed from https://ideas.repec.org/r/jss/jstsof/v045i02.html
   My bibliography  Save this item

Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. repec:jss:jstsof:45:i01 is not listed on IDEAS
  2. Haiyan Yu & Bing Han & Nicholas Rios & Jianbin Chen, 2024. "Missing Data Imputation in Balanced Construction for Incomplete Block Designs," Mathematics, MDPI, vol. 12(21), pages 1-22, October.
  3. Tendeiro, Jorge N. & Meijer, Rob R. & Niessen, A. Susan M., 2016. "PerFit: An R Package for Person-Fit Analysis in IRT," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i05).
  4. Joost Ginkel & Pieter Kroonenberg, 2014. "Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 242-269, July.
  5. Christian Seiler, 2013. "Nonresponse in Business Tendency Surveys: Theoretical Discourse and Empirical Evidence," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 52.
  6. Richard E Neapolitan & Xia Jiang, 2015. "Study of Integrated Heterogeneous Data Reveals Prognostic Power of Gene Expression for Breast Cancer Survival," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-16, February.
  7. Cheng, Xiaoyue & Cook, Dianne & Hofmann, Heike, 2015. "Visually Exploring Missing Values in Multivariable Data Using a Graphical User Interface," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i06).
  8. Labrecque, Jeremy A. & Kaufman, Jay S. & Balzer, Laura B. & Maclehose, Richard F. & Strumpf, Erin C. & Matijasevich, Alicia & Santos, Iná S. & Schmidt, Kelen H. & Barros, Aluísio J.D., 2018. "Effect of a conditional cash transfer program on length-for-age and weight-for-age in Brazilian infants at 24 months using doubly-robust, targeted estimation," Social Science & Medicine, Elsevier, vol. 211(C), pages 9-15.
  9. Robbins Michael W., 2014. "The Utility of Nonparametric Transformations for Imputation of Survey Data," Journal of Official Statistics, Sciendo, vol. 30(4), pages 675-700, December.
  10. Humera Razzak & Christian Heumann, 2019. "Hybrid Multiple Imputation In A Large Scale Complex Survey," Statistics in Transition New Series, Polish Statistical Association, vol. 20(4), pages 33-58, December.
  11. Josse, Julie & Husson, François, 2016. "missMDA: A Package for Handling Missing Values in Multivariate Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i01).
  12. Elizabeth Duthie & Diogo Veríssimo & Aidan Keane & Andrew T Knight, 2017. "The effectiveness of celebrities in conservation marketing," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-16, July.
  13. 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.
  14. Wan-Lun Wang & Victor Hugo Lachos & Yu-Chien Chen & Tsung-I Lin, 2025. "Flexible clustering via Gaussian parsimonious mixture models with censored and missing values," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 34(2), pages 431-458, June.
  15. Takashi Sugimoto & Tomohiro Shinozaki & Takashi Naruse & Yuki Miyamoto, 2014. "Who Was Concerned about Radiation, Food Safety, and Natural Disasters after the Great East Japan Earthquake and Fukushima Catastrophe? A Nationwide Cross-Sectional Survey in 2012," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-8, September.
  16. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
  17. Razzak Humera & Heumann Christian, 2019. "Hybrid Multiple Imputation In A Large Scale Complex Survey," Statistics in Transition New Series, Statistics Poland, vol. 20(4), pages 33-58, December.
  18. Thomas R. Belin, 2017. "TRIVELLORE RAGHUNATHAN . Missing Data Analysis in Practice . Boca Raton : CRC Press," Biometrics, The International Biometric Society, vol. 73(3), pages 1059-1060, September.
  19. repec:jss:jstsof:45:i03 is not listed on IDEAS
  20. Gary K Chen & Eric C Chi & John Michael O Ranola & Kenneth Lange, 2015. "Convex Clustering: An Attractive Alternative to Hierarchical Clustering," PLOS Computational Biology, Public Library of Science, vol. 11(5), pages 1-31, May.
  21. Speidel, Matthias & Drechsler, Jörg & Jolani, Shahab, 2018. "R package hmi: a convenient tool for hierarchical multiple imputation and beyond," IAB-Discussion Paper 201816, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  22. 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.
  23. Christos T Nakas & Narayan Schütz & Marcus Werners & Alexander B Leichtle, 2016. "Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive Modeling," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-11, July.
  24. Adel Bosch & Steven F. Koch, 2021. "Individual and Household Debt: Does Imputation Choice Matter?," Working Papers 202141, University of Pretoria, Department of Economics.
  25. Oberski, Daniel, 2014. "lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 57(i01).
  26. G. Robin Gauthier & Patricia Wonch Hill & Julia McQuillan & Amy N. Spiegel & Judy Diamond, 2017. "The Potential Scientist’s Dilemma: How the Masculine Framing of Science Shapes Friendships and Science Job Aspirations," Social Sciences, MDPI, vol. 6(1), pages 1-21, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.