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Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models

Citations

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Cited by:

  1. repec:jss:jstsof:45:i04 is not listed on IDEAS
  2. R Florez-Lopez, 2010. "Effects of missing data in credit risk scoring. A comparative analysis of methods to achieve robustness in the absence of sufficient data," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 486-501, March.
  3. Hapfelmeier, A. & Hothorn, T. & Ulm, K., 2012. "Recursive partitioning on incomplete data using surrogate decisions and multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1552-1565.
  4. Celeste Combrinck & Vanessa Scherman & David Maree & Sarah Howie, 2018. "Multiple Imputation for Dichotomous MNAR Items Using Recursive Structural Equation Modeling With Rasch Measures as Predictors," SAGE Open, , vol. 8(1), pages 21582440187, February.
  5. Labohm, Katharina & Baaken, Dominik & Hess, Sebastian, 2021. "Mikromarktstrukturen der Rohmilchautomaten in Deutschland," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317053, German Association of Agricultural Economists (GEWISOLA).
  6. Trimborn, Simon & Härdle, Wolfgang Karl, 2018. "CRIX an Index for cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 107-122.
  7. Yi-Sheng Chao & Hsing-Chien Wu & Chao-Jung Wu & Wei-Chih Chen, 2018. "Index or illusion: The case of frailty indices in the Health and Retirement Study," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-19, July.
  8. Zhong, Hua & Hu, Wuyang, 2015. "Farmers’ Willingness to Engage in Best Management Practices: an Application of Multiple Imputation," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196962, Southern Agricultural Economics Association.
  9. Lena Walther & Lukas M. Fuchs & Jürgen Schupp & Christian von Scheve, 2019. "Living Conditions and the Mental Health and Well-being of Refugees: Evidence from a Representative German Panel Study," SOEPpapers on Multidisciplinary Panel Data Research 1029, DIW Berlin, The German Socio-Economic Panel (SOEP).
  10. Dardanoni, Valentino & Modica, Salvatore & Peracchi, Franco, 2011. "Regression with imputed covariates: A generalized missing-indicator approach," Journal of Econometrics, Elsevier, vol. 162(2), pages 362-368, June.
  11. Siddique, Juned & Harel, Ofer, 2009. "MIDAS: A SAS Macro for Multiple Imputation Using Distance-Aided Selection of Donors," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i09).
  12. Jushan Bai & Serena Ng, 2021. "Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1746-1763, October.
  13. Adriano Zanin Zambom & Gregory J. Matthews, 2021. "Sure independence screening in the presence of missing data," Statistical Papers, Springer, vol. 62(2), pages 817-845, April.
  14. Ke-Hai Yuan & Fan Yang-Wallentin & Peter M. Bentler, 2012. "ML Versus MI for Missing Data With Violation of Distribution Conditions," Sociological Methods & Research, , vol. 41(4), pages 598-629, November.
  15. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
  16. Zachary D Rethorn & Alessandra N Garcia & Chad E Cook & Oren N Gottfried, 2020. "Quantifying the collective influence of social determinants of health using conditional and cluster modeling," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.
  17. Louis Anthony (Tony) Cox, Jr & Douglas A. Popken, 2008. "Overcoming Confirmation Bias in Causal Attribution: A Case Study of Antibiotic Resistance Risks," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1155-1172, October.
  18. David (David Patrick) Madden, 2012. "The relationship between low birthweight and socioeconomic status in Ireland," Working Papers 201214, School of Economics, University College Dublin.
  19. Cain Polidano & Ha Vu, 2012. "Labour Market Impacts from Disability Onset," Melbourne Institute Working Paper Series wp2012n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  20. Brady T. West & Patricia Berglund & Steven G. Heeringa, 2008. "A closer examination of subpopulation analysis of complex-sample survey data," Stata Journal, StataCorp LP, vol. 8(4), pages 520-531, December.
  21. Härdle, Wolfgang Karl & Trimborn, Simon, 2015. "CRIX or evaluating blockchain based currencies," SFB 649 Discussion Papers 2015-048, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  22. Consentino, Fabrizio & Claeskens, Gerda, 2010. "Order selection tests with multiply imputed data," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2284-2295, October.
  23. Gedikoglu, Haluk & Parcell, Joseph L., 2013. "Implications of Survey Sampling Design for Missing Data Imputation," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149679, Agricultural and Applied Economics Association.
  24. Schomaker, Michael & Heumann, Christian, 2014. "Model selection and model averaging after multiple imputation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 758-770.
  25. Rachel Griffith & Rodrigo Lluberas & Melanie Lührmann, 2016. "Gluttony and Sloth? Calories, Labor Market Activity and the Rise of Obesity," Journal of the European Economic Association, European Economic Association, vol. 14(6), pages 1253-1286.
  26. repec:hum:wpaper:sfb649dp2016-021 is not listed on IDEAS
  27. Göran Kauermann & Mehboob Ali, 2021. "Semi-parametric regression when some (expensive) covariates are missing by design," Statistical Papers, Springer, vol. 62(4), pages 1675-1696, August.
  28. Hapfelmeier, A. & Ulm, K., 2014. "Variable selection by Random Forests using data with missing values," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 129-139.
  29. Margaret L McNairy & Deanna Jannat-Khah & Jean W Pape & Adias Marcelin & Patrice Joseph & Jean Edward Mathon & Serena Koenig & Martin Wells & Daniel W Fitzgerald & Arthur Evans, 2018. "Predicting death and lost to follow-up among adults initiating antiretroviral therapy in resource-limited settings: Derivation and external validation of a risk score in Haiti," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-16, August.
  30. repec:jss:jstsof:29:i09 is not listed on IDEAS
  31. Valentino Dardanoni & Giuseppe De Luca & Salvatore Modica & Franco Peracchi, 2012. "A generalized missing-indicator approach to regression with imputed covariates," Stata Journal, StataCorp LP, vol. 12(4), pages 575-604, December.
  32. repec:jss:jstsof:45:i03 is not listed on IDEAS
  33. Upadhayay, Neha B. & Rocchetta, Silvia & Gupta, Shivam & Kamble, Sachin & Stekelorum, Rebecca, 2024. "Blazing the trail: The role of digital and green servitization on technological innovation," Technovation, Elsevier, vol. 130(C).
  34. Ruiwen Zhou & Huiqiong Li & Jianguo Sun & Niansheng Tang, 2022. "A new approach to estimation of the proportional hazards model based on interval-censored data with missing covariates," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(3), pages 335-355, July.
  35. Präg, Patrick, 2018. "Nonresponse to Items on Self-Reported Delinquency. A Review and Evaluation of Missing Data Techniques," SocArXiv y9sv7, Center for Open Science.
  36. James Honaker & Gary King, 2010. "What to Do about Missing Values in Time‐Series Cross‐Section Data," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 561-581, April.
  37. Lê, Félice & Diez Roux, Ana & Morgenstern, Hal, 2013. "Effects of child and adolescent health on educational progress," Social Science & Medicine, Elsevier, vol. 76(C), pages 57-66.
  38. Werber Borut & Baggia Alenka & Žnidaršič Anja, 2018. "Factors Affecting the Intentions to Use RFID Subcutaneous Microchip Implants for Healthcare Purposes," Organizacija, Sciendo, vol. 51(2), pages 121-133, May.
  39. repec:hal:journl:peer-00815561 is not listed on IDEAS
  40. Kontopantelis, Evangelos & Springate, David A & Parisi, Rosa & Reeves, David, 2016. "Simulation-Based Power Calculations for Mixed Effects Modeling: ipdpower in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i12).
  41. Fitzpatrick, Trevor & Mues, Christophe, 2016. "An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market," European Journal of Operational Research, Elsevier, vol. 249(2), pages 427-439.
  42. Castellacci, Fulvio & Natera, Jose Miguel, 2011. "A new panel dataset for cross-country analyses of national systems, growth and development (CANA)," MPRA Paper 28376, University Library of Munich, Germany.
  43. Audronė Telešienė & Jelle Boeve-de Pauw & Daphne Goldman & Ralph Hansmann, 2021. "Evaluating an Educational Intervention Designed to Foster Environmental Citizenship among Undergraduate University Students," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
  44. 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.
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