IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v61y2005i4p899-911.html
   My bibliography  Save this article

Statistical Issues Arising in the Women's Health Initiative

Author

Listed:
  • Ross L. Prentice
  • Mary Pettinger
  • Garnet L. Anderson

Abstract

No abstract is available for this item.

Suggested Citation

  • Ross L. Prentice & Mary Pettinger & Garnet L. Anderson, 2005. "Statistical Issues Arising in the Women's Health Initiative," Biometrics, The International Biometric Society, vol. 61(4), pages 899-911, December.
  • Handle: RePEc:bla:biomet:v:61:y:2005:i:4:p:899-911
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2005.454_1.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.

    References listed on IDEAS

    as
    1. Tibshirani Robert J. & Efron Brad, 2002. "Pre-validation and inference in microarrays," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 1(1), pages 1-20, August.
    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. C. Y. Wang, 2008. "Non‐parametric Maximum Likelihood Estimation for Cox Regression with Subject‐Specific Measurement Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(4), pages 613-628, December.
    2. Nathan Kallus & Angela Zhou, 2021. "Minimax-Optimal Policy Learning Under Unobserved Confounding," Management Science, INFORMS, vol. 67(5), pages 2870-2890, May.

    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. Lida Qiu & Deyong Kang & Chuan Wang & Wenhui Guo & Fangmeng Fu & Qingxiang Wu & Gangqin Xi & Jiajia He & Liqin Zheng & Qingyuan Zhang & Xiaoxia Liao & Lianhuang Li & Jianxin Chen & Haohua Tu, 2022. "Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneity," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Dennis Kostka & Rainer Spang, 2008. "Microarray Based Diagnosis Profits from Better Documentation of Gene Expression Signatures," PLOS Computational Biology, Public Library of Science, vol. 4(2), pages 1-6, February.
    3. Arivazhagan Arimappamagan & Kumaravel Somasundaram & Kandavel Thennarasu & Sreekanthreddy Peddagangannagari & Harish Srinivasan & Bangalore C Shailaja & Cini Samuel & Irene Rosita Pia Patric & Sudhans, 2013. "A Fourteen Gene GBM Prognostic Signature Identifies Association of Immune Response Pathway and Mesenchymal Subtype with High Risk Group," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-14, April.
    4. Lama, Nicola & Boracchi, Patrizia & Biganzoli, Elia, 2009. "Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1906-1922, March.

    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:biomet:v:61:y:2005:i:4:p:899-911. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.