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

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  • Horton N. J.
  • Lipsitz S. R.

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Bibliographic Info

Article provided by American Statistical Association in its journal The American Statistician.

Volume (Year): 55 (2001)
Issue (Month): (August)
Pages: 244-254

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Handle: RePEc:bes:amstat:v:55:y:2001:m:august:p:244-254

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Cited by:
  1. Consentino, Fabrizio & Claeskens, Gerda, 2010. "Order selection tests with multiply imputed data," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2284-2295, October.
  2. Ulrich Rendtel, 2006. "The 2005 Plenary Meeting on ‘‘Missing Data and Measurement Error’’," AStA Advances in Statistical Analysis, Springer, vol. 90(4), pages 493-499, December.
  3. Gabriele Beissel Durrant, 2009. "Imputation Methods for Handling Item-Nonresponse in the Social Sciences: A Methodological Review," Working Papers id:2007, eSocialSciences.
  4. 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.
  5. 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.
  6. Paul Zhang, 2005. "Multiple imputation of missing data with ante-dependence covariance structure," Journal of Applied Statistics, Taylor and Francis Journals, vol. 32(2), pages 141-155.
  7. 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).
  8. Kristian Kleinke & Mark Stemmler & Jost Reinecke & Friedrich Lösel, 2011. "Efficient ways to impute incomplete panel data," AStA Advances in Statistical Analysis, Springer, vol. 95(4), pages 351-373, December.
  9. Consentino, Fabrizio & Claeskens, Gerda, 2009. "Order selection tests with multiply-imputed data," Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/223654, Katholieke Universiteit Leuven.
  10. 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.
  11. Susanne Rässler & Regina Riphahn, 2006. "Survey item nonresponse and its treatment," AStA Advances in Statistical Analysis, Springer, vol. 90(1), pages 217-232, March.

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