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Multiple imputation of missing values: update


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  • Patrick Royston

    (Cancer Division, MRC Clinical Trials Unit)

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    This article describes a substantial update to mvis, which brings it more closely in line with the feature set of S. van Buuren and C. G. M. Oudshoorn’s implementation of the MICE system in R and S-PLUS (for details, see To make a clear distinction from mvis,the principal program of the new Stata release is called ice. I will give details of how to use the new features and a practical illustrative example using real data. All the facilities of mvis are retained by ice. Some improvements to micombine for computing estimates from multiply imputed datasets are also described. Copyright 2005 by StataCorp LP.

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    Bibliographic Info

    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 5 (2005)
    Issue (Month): 2 (June)
    Pages: 188-201

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    Handle: RePEc:tsj:stataj:v:5:y:2005:i:2:p:188-201

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    Keywords: ice; mvis; uvis; micombine; mijoin; misplit; missing data; missing at random; multiple imputation; multivariate imputation; regression modeling;


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    1. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    2. John B. Carlin & Ning Li & Philip Greenwood & Carolyn Coffey, 2003. "Tools for analyzing multiple imputed datasets," Stata Journal, StataCorp LP, vol. 3(3), pages 226-244, September.
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    2. Petrit Gashi & Iraj Hashi & Geoff Pugh, 2014. "Export behaviour of SMEs in transition countries," Small Business Economics, Springer, vol. 42(2), pages 407-435, February.
    3. Kimbro, Rachel Tolbert & Denney, Justin T., 2013. "Neighborhood context and racial/ethnic differences in young children's obesity: Structural barriers to interventions," Social Science & Medicine, Elsevier, vol. 95(C), pages 97-105.
    4. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "Respondent uncertainty in contingent valuation: the case of whale conservation in Newfoundland and Labrador," MPRA Paper 21969, University Library of Munich, Germany.
    5. Martin, Molly A. & Frisco, Michelle L. & Nau, Claudia & Burnett, Kristin, 2012. "Social stratification and adolescent overweight in the United States: How income and educational resources matter across families and schools," Social Science & Medicine, Elsevier, vol. 74(4), pages 597-606.
    6. Lynch, Frances L. & Dickerson, John F. & Saldana, Lisa & Fisher, Phillip A., 2014. "Incremental net benefit of early intervention for preschool-aged children with emotional and behavioral problems in foster care," Children and Youth Services Review, Elsevier, vol. 36(C), pages 213-219.
    7. Reza C. Daniels, 2012. "Univariate Multiple Imputation for Coarse Employee Income Data," SALDRU Working Papers 88, Southern Africa Labour and Development Research Unit, University of Cape Town.
    8. Claire Vermaak, 2012. "Tracking poverty with coarse data: evidence from South Africa," Journal of Economic Inequality, Springer, vol. 10(2), pages 239-265, June.
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    10. Jaenichen, Ursula & Sakshaug, Joseph, 2012. "Multiple imputation of household income in the first wave of PASS," FDZ Methodenreport 201202_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    11. Martin, Molly A. & Lippert, Adam M., 2012. "Feeding her children, but risking her health: The intersection of gender, household food insecurity and obesity," Social Science & Medicine, Elsevier, vol. 74(11), pages 1754-1764.
    12. Robynn Cox & Sally Wallace, 2013. "The Impact of Incarceration on Food Insecurity among Households with Children," Working Papers 1448, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Research on Child Wellbeing..
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    14. Richard J. Petts, 2009. "Fathers’ Religious Involvement And Early Childhood Behavior," Working Papers 1208, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Research on Child Wellbeing..
    15. Douglas S. Noonan, 2007. "Finding an Impact of Preservation Policies: Price Effects of Historic Landmarks on Attached Homes in Chicago, 1990-1999," Economic Development Quarterly, , vol. 21(1), pages 17-33, February.
    16. Frisco, Michelle L. & Weden, Margaret M. & Lippert, Adam M. & Burnett, Kristin D., 2012. "The multidimensional relationship between early adult body weight and women’s childbearing experiences," Social Science & Medicine, Elsevier, vol. 74(11), pages 1703-1711.
    17. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.
    18. Melissa A. Clark & Hanley S. Chiang & Tim Silva & Sheena McConnell & Kathy Sonnenfeld & Anastasia Erbe & Michael Puma, 2013. "The Effectiveness of Secondary Math Teachers from Teach For America and the Teaching Fellows Programs," Mathematica Policy Research Reports 7890, Mathematica Policy Research.
    19. Andrea Marshall & Lucinda Billingham & Stirling Bryan, 2009. "Can we afford to ignore missing data in cost-effectiveness analyses?," The European Journal of Health Economics, Springer, vol. 10(1), pages 1-3, February.
    20. Lussier, Danielle, 2007. "The Nature of Mass Communist Beliefs in Postcommunist Russian Political Space," Program in Soviet and Post-Soviet Studies, Working Paper Series qt8ds7f6zm, Institute of Slavic, East European, and Eurasian Studies, UC Berkeley.
    21. Martínez-Espiñeira, Roberto & Lyssenko, Nikita, 2011. "Correcting for the endogeneity of pro-environment behavioral choices in contingent valuation," Ecological Economics, Elsevier, vol. 70(8), pages 1435-1439, June.
    22. Gretchen Carrigan & Adrian G. Barnett & Annette J. Dobson & Gita Mishra, . "Compensating for Missing Data from Longitudinal Studies Using WinBUGS," Journal of Statistical Software, American Statistical Association, vol. 19(i07).


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