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Multiple Imputation in Practice: Comparison of Software Packages for Regression Models With Missing Variables

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Cited by:

  1. Hildegard Seidl & Matthias Hunger & Reiner Leidl & Christa Meisinger & Rupert Wende & Bernhard Kuch & Rolf Holle, 2015. "Cost-effectiveness of nurse-based case management versus usual care for elderly patients with myocardial infarction: results from the KORINNA study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(6), pages 671-681, July.
  2. Ronald B. Mincy & Elia De la Cruz Toledo, 2014. "Unemployment and Child Support Compliance Through the Great Recession," Working Papers 14-01-ff, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..
  3. Li, Daniel H. & Wang, Liqun, 2016. "A weighted simulation-based estimator for incomplete longitudinal data models," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 16-22.
  4. Dardas, Anastassios Z. & Williams, Allison & Scott, Darren, 2020. "Carer-employees’ travel behaviour: Assisted-transport in time and space," Journal of Transport Geography, Elsevier, vol. 82(C).
  5. Eneko Echaniz & Chinh Ho & Andres Rodriguez & Luigi dell’Olio, 2020. "Modelling user satisfaction in public transport systems considering missing information," Transportation, Springer, vol. 47(6), pages 2903-2921, December.
  6. Geronimi, J. & Saporta, G., 2017. "Variable selection for multiply-imputed data with penalized generalized estimating equations," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 103-114.
  7. Ben F M Wijnen & Karin Pos & Eva Velthorst & Frederike Schirmbeck & Hoi Yau Chan & Lieuwe de Haan & Mark van der Gaag & Silvia M A A Evers & Filip Smit, 2018. "Economic evaluation of brief cognitive behavioural therapy for social activation in recent-onset psychosis," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.
  8. Patrick Royston & John B. Carlin & Ian R. White, 2009. "Multiple imputation of missing values: New features for mim," Stata Journal, StataCorp LP, vol. 9(2), pages 252-264, June.
  9. Hamid Heidarian Miri & Jafar Hassanzadeh & Abdolreza Rajaeefard & Majid Mirmohammadkhani & Kambiz Ahmadi Angali, 2016. "Multiple Imputation to Correct for Nonresponse Bias: Application in Non-communicable Disease Risk Factors Survey," Global Journal of Health Science, Canadian Center of Science and Education, vol. 8(1), pages 133-133, January.
  10. Adnan Efendic & Tomasz Marek Mickiewicz & Anna Rebmann, 2013. "Growth Aspirations and Social Capital: Young Firms in a Post-Conflict Environment," UCL SSEES Economics and Business working paper series 122, UCL School of Slavonic and East European Studies (SSEES).
  11. Jing Dai & Stefan Sperlich & Walter Zucchini, 2016. "A Simple Method for Predicting Distributions by Means of Covariates with Examples from Poverty and Health Economics," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 152(I), pages 49-80, March.
  12. Susanne Rässler & Regina Riphahn, 2006. "Survey item nonresponse and its treatment," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 217-232, March.
  13. Jing Dai & Stefan Sperlich & Walter Zucchini, 2011. "Estimating and Predicting Household Expenditures and Income Distributions," MAGKS Papers on Economics 201147, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  14. 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.
  15. Calzolari, Giorgio & Neri, Laura, 2002. "Imputation of continuous variables missing at random using the method of simulated scores," MPRA Paper 22986, University Library of Munich, Germany, revised 2002.
  16. Paredes-Gazquez, Juan Diego & Rodriguez-Fernandez, José Miguel & de la Cuesta-Gonzalez, Marta, 2016. "Measuring corporate social responsibility using composite indices: Mission impossible? The case of the electricity utility industry," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 142-153.
  17. Yijie Zhou & Francesca Dominici & Thomas A. Louis, 2010. "Racial disparities in risks of mortality in a sample of the US Medicare population," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(2), pages 319-339, March.
  18. repec:jss:jstsof:45:i06 is not listed on IDEAS
  19. 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.
  20. 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.
  21. Młodak Andrzej, 2021. "An application of a complex measure to model–based imputation in business statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 22(1), pages 1-28, March.
  22. Youngwon Nam & Cäzilia Loibl, 2021. "Financial Capability and Financial Planning at the Verge of Retirement Age," Journal of Family and Economic Issues, Springer, vol. 42(1), pages 133-150, March.
  23. Kristian Kleinke & Jost Reinecke, 2013. "Multiple imputation of incomplete zero-inflated count data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(3), pages 311-336, August.
  24. Atanu Bhattacharjee, 2020. "Estimation of Treatment Effect with Missing Observations for Three Arms and Three Periods Crossover Clinical Trials," Annals of Data Science, Springer, vol. 7(3), pages 447-460, September.
  25. Joyance Meechai & Manel Wijesinha, 2022. "Household energy expenditure and consumption patterns in the United States," Computational Statistics, Springer, vol. 37(5), pages 2095-2127, November.
  26. Opoku-Agyemang, Kweku A., 2017. "A Human-Computer Interaction Approach for Integrity in Economics," SocArXiv ra3cs, Center for Open Science.
  27. Consentino, Fabrizio & Claeskens, Gerda, 2010. "Order selection tests with multiply imputed data," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2284-2295, October.
  28. Sarah Mustillo, 2012. "The Effects of Auxiliary Variables on Coefficient Bias and Efficiency in Multiple Imputation," Sociological Methods & Research, , vol. 41(2), pages 335-361, May.
  29. Aderiana Mutheu Mbandi & Jan R. Böhnke & Dietrich Schwela & Harry Vallack & Mike R. Ashmore & Lisa Emberson, 2019. "Estimating On-Road Vehicle Fuel Economy in Africa: A Case Study Based on an Urban Transport Survey in Nairobi, Kenya," Energies, MDPI, vol. 12(6), pages 1-28, March.
  30. Paul Zhang, 2005. "Multiple imputation of missing data with ante-dependence covariance structure," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(2), pages 141-155.
  31. Robert Rieg, 2019. "Selbstständigkeit von Bilanzbuchhaltern und Controllern: Eine empirische Untersuchung zu Einkommen und Determinanten," ZfKE – Zeitschrift für KMU und Entrepreneurship, Duncker & Humblot, Berlin, vol. 67(1), pages 35-66.
  32. Janet MacNeil Vroomen & Iris Eekhout & Marcel G. Dijkgraaf & Hein van Hout & Sophia E. de Rooij & Martijn W. Heymans & Judith E. Bosmans, 2016. "Multiple imputation strategies for zero-inflated cost data in economic evaluations: which method works best?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(8), pages 939-950, November.
  33. Víctor Amor-Esteban & Mª-Purificación Galindo-Villardón & Isabel-María García-Sánchez, 2019. "A Multivariate Proposal for a National Corporate Social Responsibility Practices Index (NCSRPI) for International Settings," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(2), pages 525-560, June.
  34. Nengsih Titin Agustin & Bertrand Frédéric & Maumy-Bertrand Myriam & Meyer Nicolas, 2019. "Determining the number of components in PLS regression on incomplete data set," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(6), pages 1-28, December.
  35. Shu Yang & Jae Kwang Kim, 2020. "Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(3), pages 839-861, September.
  36. Grimalda, Gianluca & Farina, Francesco & Conte, Anna & Schmidt, Ulrich, 2023. "Why do preferences for redistribution differ across countries? An experimental analysis," Kiel Working Papers 2230, Kiel Institute for the World Economy (IfW Kiel), revised 2023.
  37. repec:jss:jstsof:45:i03 is not listed on IDEAS
  38. Ulrich Rendtel, 2006. "The 2005 Plenary Meeting on ‘‘Missing Data and Measurement Error’’," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(4), pages 493-499, December.
  39. Ringle, Jay L. & Huefner, Jonathan C. & James, Sigrid & Pick, Robert & Thompson, Ronald W., 2012. "12-month follow-up outcomes for youth departing an integrated residential continuum of care," Children and Youth Services Review, Elsevier, vol. 34(4), pages 675-679.
  40. Ahmad R. Alsaber & Jiazhu Pan & Adeeba Al-Hurban, 2021. "Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)," IJERPH, MDPI, vol. 18(3), pages 1-25, February.
  41. Landau, E.R. & Raniti, M.B. & Blake, M. & Waloszek, J.M. & Blake, L. & Simmons, J.G. & Schwartz, O. & Murray, G. & Trinder, J. & Allen, N.B. & Byrne, M.L., 2021. "The ratio of morning cortisol to CRP prospectively predicts first-onset depression in at-risk adolescents," Social Science & Medicine, Elsevier, vol. 281(C).
  42. Andrzej Młodak, 2021. "An application of a complex measure to model–based imputation in business statistics," Statistics in Transition New Series, Polish Statistical Association, vol. 22(1), pages 1-28, March.
  43. Andrew Briggs & Taane Clark & Jane Wolstenholme & Philip Clarke, 2003. "Missing.... presumed at random: cost‐analysis of incomplete data," Health Economics, John Wiley & Sons, Ltd., vol. 12(5), pages 377-392, May.
  44. Gabriele Beissel Durrant, 2009. "Imputation Methods for Handling Item-Nonresponse in the Social Sciences: A Methodological Review," Working Papers id:2007, eSocialSciences.
  45. David K. Blough & Scott Ramsey & Sean D. Sullivan & Roger Yusen, 2009. "The impact of using different imputation methods for missing quality of life scores on the estimation of the cost‐effectiveness of lung‐volume‐reduction surgery," Health Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 91-101, January.
  46. Kristian Kleinke & Mark Stemmler & Jost Reinecke & Friedrich Lösel, 2011. "Efficient ways to impute incomplete panel data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 351-373, December.
  47. Chaurasia, Ashok, 2023. "Combining rules for F- and Beta-statistics from multiply-imputed data," Econometrics and Statistics, Elsevier, vol. 25(C), pages 51-65.
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