IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v9y2009i2p252-264.html
   My bibliography  Save this article

Multiple imputation of missing values: New features for mim

Author

Listed:
  • Patrick Royston

    (MRC Clinical Trials Unit)

  • John B. Carlin

    (Murdoch Children’s Research Institute and University of Melbourne)

  • Ian R. White

    (MRC Biostatistics Unit)

Abstract

We present an update of mim, a program for managing multiply im- puted datasets and performing inference (estimating parameters) using Rubin’s rules for combining estimates from imputed datasets. The new features of particular importance are an option for estimating the Monte Carlo error (due to the sampling variability of the imputation process) in parameter estimates and in related quantities, and a general routine for combining any scalar estimate across imputations. Copyright 2009 by StataCorp LP.

Suggested Citation

  • 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.
    • Handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:252-264
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0139_1
    File Function: link to article download
    Download Restriction: no
    File URL: http://www.stata-journal.com/software/sj9-2/st0139_1/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Horton N. J. & Lipsitz S. R., 2001. "Multiple Imputation in Practice: Comparison of Software Packages for Regression Models With Missing Variables," The American Statistician, American Statistical Association, vol. 55, pages 244-254, August.
    2. Nicholas J. Cox, 2008. "Speaking Stata: Correlation with confidence, or Fisher's z revisited," Stata Journal, StataCorp LP, vol. 8(3), pages 413-439, September.
    3. John B. Carlin & John C. Galati & Patrick Royston, 2008. "A new framework for managing and analyzing multiply imputed data in Stata," Stata Journal, StataCorp LP, vol. 8(1), pages 49-67, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Susanne Rässler & Regina T. Riphahn, 2006. "Survey Item Nonresponse and its Treatment," Springer Books, in: Olaf Hübler & Jachim Frohn (ed.), Modern Econometric Analysis, chapter 15, pages 215-230, Springer.
    2. Stanislav Kolenikov, 2009. "Confirmatory factor analysis using confa," Stata Journal, StataCorp LP, vol. 9(3), pages 329-373, September.
    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. 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.
    5. 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.
    6. Patrick Royston, 2009. "Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables," Stata Journal, StataCorp LP, vol. 9(3), pages 466-477, September.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Helen Dakin & Nancy Devlin & Yan Feng & Nigel Rice & Phill O'Neill & David Parkin, 2015. "The Influence of Cost‐Effectiveness and Other Factors on Nice Decisions," Health Economics, John Wiley & Sons, Ltd., vol. 24(10), pages 1256-1271, October.
    14. 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.
    15. 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.
    16. 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).
    17. Florence A. Becot & Shoshanah M. Inwood, 2022. "Medical economic vulnerability: a next step in expanding the farm resilience scholarship," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(3), pages 1097-1116, September.
    18. Geranda Notten & Julie Charest & Andrew Heisz, 2017. "Material deprivation in Canada," Working Papers 1715E, University of Ottawa, Department of Economics.
    19. Jaller, Miguel & Pineda, Leticia, 2017. "Warehousing and Distribution Center Facilities in Southern California: The Use of the Commodity Flow Survey Data to Identify Logistics Sprawl and Freight Generation Patterns," Institute of Transportation Studies, Working Paper Series qt5dz0j1gg, Institute of Transportation Studies, UC Davis.
    20. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tsj:stataj:v:9:y:2009:i:2:p:252-264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.