IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v30y2002i3p425-454.html
   My bibliography  Save this article

A Nonparametric Approach to Matched Pairs with Missing Data

Author

Listed:
  • MICHAEL G. AKRITAS

    (Pennsylvania State University)

  • JOUNI KUHA

    (London School of Economics)

  • D. WAYNE OSGOOD

    (Pennsylvania State University)

Abstract

The matched-pairs t-statistic on the overall ranks is extended to data with observations missing at random. Either one of the two variables is allowed to be missing. The procedure is completely nonparametric. Comparisons with the likelihood ratio test for normal data indicate that the proposed method fares well when the data are normal and outperforms it in other cases. Simulations also confirm that the proposed method has higher power than common nonparametric complete-pairs tests for observations missing completely at random. Finally, a data set on the delinquent values of boys released from correctional institutions is analyzed and discussed.

Suggested Citation

  • Michael G. Akritas & Jouni Kuha & D. Wayne Osgood, 2002. "A Nonparametric Approach to Matched Pairs with Missing Data," Sociological Methods & Research, , vol. 30(3), pages 425-454, February.
    • Handle: RePEc:sae:somere:v:30:y:2002:i:3:p:425-454
    DOI: 10.1177/0049124102030003006
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0049124102030003006
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0049124102030003006?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
    ---><---

    References listed on IDEAS

    as
    1. U. Munzel, 1999. "Nonparametric methods for paired samples," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 53(3), pages 277-286, November.
    2. Akritas, Michael G., 1992. "Rank transform statistics with censored data," Statistics & Probability Letters, Elsevier, vol. 13(3), pages 209-221, February.
    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. Hani M. Samawi & Robert Vogel, 2014. "Notes on two sample tests for partially correlated (paired) data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(1), pages 109-117, January.
    2. Giovanni Di Franco, 2014. "An alternative procedure for imputing missing data based on principal components analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1149-1163, May.
    3. Konietschke, F. & Harrar, S.W. & Lange, K. & Brunner, E., 2012. "Ranking procedures for matched pairs with missing data — Asymptotic theory and a small sample approximation," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1090-1102.

    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. Martínez-Camblor, Pablo & Corral, Norberto, 2011. "Repeated measures analysis for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3244-3256, December.
    2. Konietschke, F. & Harrar, S.W. & Lange, K. & Brunner, E., 2012. "Ranking procedures for matched pairs with missing data — Asymptotic theory and a small sample approximation," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1090-1102.
    3. Konietschke, F. & Bathke, A.C. & Hothorn, L.A. & Brunner, E., 2010. "Testing and estimation of purely nonparametric effects in repeated measures designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1895-1905, August.
    4. Kimihiro Noguchi & Fernando Marmolejo-Ramos, 2016. "Assessing Equality of Means Using the Overlap of Range-Preserving Confidence Intervals," The American Statistician, Taylor & Francis Journals, vol. 70(4), pages 325-334, October.
    5. Michael J. Dallas & P. V. Rao, 2000. "Testing Equality of Survival Functions Based on Both Paired and Unpaired Censored Data," Biometrics, The International Biometric Society, vol. 56(1), pages 154-159, March.
    6. Martínez-Camblor, Pablo, 2010. "Nonparametric k-sample test based on kernel density estimator for paired design," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 2035-2045, August.

    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:sae:somere:v:30:y:2002:i:3:p:425-454. 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: SAGE Publications (email available below). General contact details of provider: .

    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.