IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v61y2012i3p453-469.html
   My bibliography  Save this article

Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements

Author

Listed:
  • Jeff Goldsmith
  • Ciprian M. Crainiceanu
  • Brian Caffo
  • Daniel Reich

Abstract

No abstract is available for this item.

Suggested Citation

  • Jeff Goldsmith & Ciprian M. Crainiceanu & Brian Caffo & Daniel Reich, 2012. "Longitudinal penalized functional regression for cognitive outcomes on neuronal tract measurements," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(3), pages 453-469, May.
  • Handle: RePEc:bla:jorssc:v:61:y:2012:i:3:p:453-469
    DOI: j.1467-9876.2011.01031.x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-9876.2011.01031.x
    Download Restriction: Access to full text is restricted to subscribers.

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

    Citations

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


    Cited by:

    1. Ciarleglio, Adam & Todd Ogden, R., 2016. "Wavelet-based scalar-on-function finite mixture regression models," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 86-96.
    2. Shujie Ma, 2016. "Estimation and inference in functional single-index models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 181-208, February.
    3. Benjamin A. Goldstein & Themistocles Assimes & Wolfgang C. Winkelmayer & Trevor Hastie, 2015. "Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records," Biometrics, The International Biometric Society, vol. 71(2), pages 478-486, June.
    4. repec:eee:jmvana:v:163:y:2018:i:c:p:51-66 is not listed on IDEAS
    5. Zhu, Hongxiao & Morris, Jeffrey S. & Wei, Fengrong & Cox, Dennis D., 2017. "Multivariate functional response regression, with application to fluorescence spectroscopy in a cervical pre-cancer study," Computational Statistics & Data Analysis, Elsevier, vol. 111(C), pages 88-101.
    6. J. Goldsmith & S. Greven & C. Crainiceanu, 2013. "Corrected Confidence Bands for Functional Data Using Principal Components," Biometrics, The International Biometric Society, vol. 69(1), pages 41-51, March.
    7. repec:bla:istatr:v:85:y:2017:i:2:p:228-249 is not listed on IDEAS
    8. Shujie Ma, 2016. "Estimation and inference in functional single-index models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(1), pages 181-208, February.
    9. Liu, Baisen & Wang, Liangliang & Cao, Jiguo, 2017. "Estimating functional linear mixed-effects regression models," Computational Statistics & Data Analysis, Elsevier, vol. 106(C), pages 153-164.
    10. Gina-Maria Pomann & Ana-Maria Staicu & Sujit Ghosh, 2016. "A two-sample distribution-free test for functional data with application to a diffusion tensor imaging study of multiple sclerosis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(3), pages 395-414, April.

    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:bla:jorssc:v:61:y:2012:i:3:p:453-469. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/rssssea.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.