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Multiple Imputation for Incomplete Data With Semicontinuous Variables

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  • Javaras, Kristin N.
  • Van Dyk, David A.

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  • Javaras, Kristin N. & Van Dyk, David A., 2003. "Multiple Imputation for Incomplete Data With Semicontinuous Variables," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 703-715, January.
    • Handle: RePEc:bes:jnlasa:v:98:y:2003:p:703-715
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. Miguel Lacerda & Cally Ardington & Murray Leibbrandt, 2007. "Sequential Regression Multiple Imputation for Incomplete Multivariate Data using Markov Chain Monte Carlo," SALDRU Working Papers 13, Southern Africa Labour and Development Research Unit, University of Cape Town.

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