IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v47y2013i4p1991-2008.html
   My bibliography  Save this article

Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures

Author

Listed:
  • Riccardo Borgoni
  • Ann Berrington

Abstract

Item nonresponse in survey data can pose significant problems for social scientists carrying out statistical modeling using a large number of explanatory variables. A number of imputation methods exist but many only deal with univariate imputation, or relatively simple cases of multivariate imputation, often assuming a monotone pattern of missingness. In this paper we evaluate a tree-based approach for multivariate imputation using real data from the 1970 British Cohort Study, known for its complex pattern of nonresponse. The performance of this tree-based approach is compared to mode imputation and a sequential regression based approach within a simulation study. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Riccardo Borgoni & Ann Berrington, 2013. "Evaluating a sequential tree-based procedure for multivariate imputation of complex missing data structures," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 1991-2008, June.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:4:p:1991-2008
    DOI: 10.1007/s11135-011-9638-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-011-9638-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-011-9638-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Riccardo Borgoni & Ann Berrington & Peter Smith, 2012. "Selecting and fitting graphical chain models to longitudinal data," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(3), pages 715-738, April.
    2. Jefferis, B.J.M.H. & Power, C. & Graham, H. & Manor, O., 2004. "Effects of Childhood Socioeconomic Circumstances on Persistent Smoking," American Journal of Public Health, American Public Health Association, vol. 94(2), pages 279-285.
    3. George Petrakos & Claudio Conversano & Gregory Farmakis & Francesco Mola & Roberta Siciliano & Photis Stavropoulos, 2004. "New ways of specifying data edits," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(2), pages 249-274, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massimo Aria & Antonio D’Ambrosio & Carmela Iorio & Roberta Siciliano & Valentina Cozza, 2020. "Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images," Statistical Papers, Springer, vol. 61(4), pages 1645-1661, August.

    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. Alexi Gugushvili & Martin McKee & Michael Murphy & Aytalina Azarova & Darja Irdam & Katarzyna Doniec & Lawrence King, 2019. "Intergenerational Mobility in Relative Educational Attainment and Health-Related Behaviours," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 413-441, January.
    2. Damien Bricard & Florence Jusot, 2012. "Milieu d’origine, situation sociale et parcours tabagique en France," Post-Print hal-01593798, HAL.
    3. Brunori, Paolo & Davillas, Apostolos & Jones, Andrew M. & Scarchilli, Giovanna, 2022. "Model-based Recursive Partitioning to Estimate Unfair Health Inequalities in the United Kingdom Household Longitudinal Study," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 543-565.
    4. Matthew A. Andersson & Vida Maralani & Renae Wilkinson, 2022. "Origins and Destinations, but How Much and When? Educational Disparities in Smoking and Drinking Across Adolescence and Young Adulthood," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(2), pages 521-558, April.
    5. Andrabi, Nafeesa & Khoddam, Rubin & Leventhal, Adam M., 2017. "Socioeconomic disparities in adolescent substance use: Role of enjoyable alternative substance-free activities," Social Science & Medicine, Elsevier, vol. 176(C), pages 175-182.
    6. Graham, Hilary & Hawkins, Summer Sherburne & Law, Catherine, 2010. "Lifecourse influences on women's smoking before, during and after pregnancy," Social Science & Medicine, Elsevier, vol. 70(4), pages 582-587, February.
    7. Cristina Teixeira & Susana Silva & Milton Severo & Henrique Barros, 2015. "Socioeconomic Position Early in Adolescence and Mode of Delivery Later in Life: Findings from a Portuguese Birth Cohort," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
    8. Meiting Liu & Aki Koivula, 2021. "Silver Spoon and Green Lifestyle: A National Study of the Association between Childhood Subjective Socioeconomic Status and Adulthood Pro-Environmental Behavior in China," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    9. Giuseppe Carrà & Francesco Bartoli & Ilaria Riboldi & Giulia Trotta & Cristina Crocamo, 2018. "Poverty matters: Cannabis use among people with serious mental illness: Findings from the United States survey on drug use and health, 2015," International Journal of Social Psychiatry, , vol. 64(7), pages 656-659, November.
    10. Riccardo Borgoni & Valeria Tritto & Daniela de Bartolo, 2013. "Identifying radon-prone building typologies by marginal modelling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(9), pages 2069-2086, September.
    11. Claudio Conversano & Roberta Siciliano, 2009. "Incremental Tree-Based Missing Data Imputation with Lexicographic Ordering," Journal of Classification, Springer;The Classification Society, vol. 26(3), pages 361-379, December.
    12. Wilson, Nick & Thomson, George, 2005. "Tobacco taxation and public health: ethical problems, policy responses," Social Science & Medicine, Elsevier, vol. 61(3), pages 649-659, August.

    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:spr:qualqt:v:47:y:2013:i:4:p:1991-2008. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.