IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v10y2010i3p496-499.html
   My bibliography  Save this article

Stata tip 89: Estimating means and percentiles following multiple imputation

Author

Listed:
  • Peter A. Lachenbruch

    (Oregon State University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter A. Lachenbruch, 2010. "Stata tip 89: Estimating means and percentiles following multiple imputation," Stata Journal, StataCorp LP, vol. 10(3), pages 496-499, September.
    • Handle: RePEc:tsj:stataj:v:10:y:2010:i:3:p:496-499
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0205
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Patrick Royston, 2004. "Multiple imputation of missing values," Stata Journal, StataCorp LP, vol. 4(3), pages 227-241, September.
    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. 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.
    2. Andrew F Auld & Francisco Mbofana & Ray W Shiraishi & Charity Alfredo & Mauro Sanchez & Tedd V Ellerbrock & Lisa J Nelson, 2013. "Incidence and Determinants of Tuberculosis among Adults Initiating Antiretroviral Therapy – Mozambique, 2004–2008," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-11, January.
    3. David A. Wagstaff & Ofer Harel, 2011. "A closer examination of three small-sample approximations to the multiple-imputation degrees of freedom," Stata Journal, StataCorp LP, vol. 11(3), pages 403-419, September.
    4. Yulia V. Marchenko & Jerome P. Reiter, 2009. "Improved degrees of freedom for multivariate significance tests obtained from multiply imputed, small-sample data," Stata Journal, StataCorp LP, vol. 9(3), pages 388-397, September.
    5. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    6. Paul Watts & Gemma Phillips & Mark Petticrew & Richard Hayes & Christian Bottomley & Ge Yu & Elena Schmidt & Patrick Tobi & Derek Moore & Caroline Frostick & Karen Lock & Adrian Renton, 2013. "Physical Activity in Deprived Communities in London: Examining Individual and Neighbourhood-Level Factors," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-8, July.
    7. 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.
    8. Harald Schoen, 2008. "Identity, Instrumental Self-Interest and Institutional Evaluations," European Union Politics, , vol. 9(1), pages 5-29, March.
    9. Julia S. Goldberg, 2011. "Identity Salience and Involvement among Resident and Nonresident Fathers," Working Papers 1323, Princeton University, School of Public and International Affairs, Center for Research on Child Wellbeing..
    10. John Bound & Michael F. Lovenheim & Sarah Turner, 2010. "Why Have College Completion Rates Declined? An Analysis of Changing Student Preparation and Collegiate Resources," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 129-157, July.
    11. repec:mpr:mprres:7638 is not listed on IDEAS
    12. von Hinke Kessler Scholder S, 2009. "Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement," Health, Econometrics and Data Group (HEDG) Working Papers 09/25, HEDG, c/o Department of Economics, University of York.
    13. Yongwei Chen & Dahai Fu, 2015. "Measuring income inequality using survey data: the case of China," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 299-307, June.
    14. Elizabeth Washbrook & Paul Gregg & Carol Propper, 2014. "A decomposition analysis of the relationship between parental income and multiple child outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(4), pages 757-782, October.
    15. Jennifer March Augustine, 2016. "Exploring New Life Course Patterns of Mother’s Continuing Secondary and College Education," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 35(6), pages 727-755, December.
    16. Zsuzsa Blasko & Artur Pokropek & Joanna Sikora, 2018. "Science career plans of adolescents: patterns, trends and gender divides," JRC Research Reports JRC109135, Joint Research Centre.
    17. Sonia Bhalotra & Samantha Rawlings, 2013. "Gradients of the Intergenerational Transmission of Health in Developing Countries," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 660-672, May.
    18. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," Working Papers halshs-00846088, HAL.
    19. Stoddard, Pamela & Handley, Margaret A. & Vargas Bustamante, Arturo & Schillinger, Dean, 2011. "The influence of indigenous status and community indigenous composition on obesity and diabetes among Mexican adults," Social Science & Medicine, Elsevier, vol. 73(11), pages 1635-1643.
    20. Manuel S. González Canché, 2017. "Financial Benefits of Rapid Student Loan Repayment: An Analytic Framework Employing Two Decades of Data," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 154-182, May.
    21. Francesco Aiello & Graziella Bonanno, 2018. "Multilevel empirics for small banks in local markets," Papers in Regional Science, Wiley Blackwell, vol. 97(4), pages 1017-1037, November.

    More about this item

    Statistics

    Access and download statistics

    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:10:y:2010:i:3:p:496-499. 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.