IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v23y1997i4p467-476.html
   My bibliography  Save this article

A new approach to estimate correlation coefficients in the presence of censoring and proportional hazards

Author

Listed:
  • Schemper, Michael
  • Kaider, Alexandra

Abstract

No abstract is available for this item.

Suggested Citation

  • Schemper, Michael & Kaider, Alexandra, 1997. "A new approach to estimate correlation coefficients in the presence of censoring and proportional hazards," Computational Statistics & Data Analysis, Elsevier, vol. 23(4), pages 467-476, February.
    • Handle: RePEc:eee:csdana:v:23:y:1997:i:4:p:467-476
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(96)00045-X
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. Donald Rubin, 1991. "EM and beyond," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 241-254, June.
    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. Robert H. Lyles & Jovonne K. Williams & Rutt Chuachoowong, 2001. "Correlating Two Viral Load Assays with Known Detection Limits," Biometrics, The International Biometric Society, vol. 57(4), pages 1238-1244, December.
    2. Michael Schemper & Robin Henderson, 2000. "Predictive Accuracy and Explained Variation in Cox Regression," Biometrics, The International Biometric Society, vol. 56(1), pages 249-255, March.
    3. Janez Stare & Maja Pohar Perme & Robin Henderson, 2011. "A Measure of Explained Variation for Event History Data," Biometrics, The International Biometric Society, vol. 67(3), pages 750-759, September.

    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. Xiangen Hu & William Batchelder, 1994. "The statistical analysis of general processing tree models with the EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 59(1), pages 21-47, March.
    2. Andrews, Jeffrey L., 2018. "Addressing overfitting and underfitting in Gaussian model-based clustering," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 160-171.
    3. Stef Buuren & Jan Rijckevorsel, 1992. "Imputation of missing categorical data by maximizing internal consistency," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 567-580, December.
    4. Sik-Yum Lee & Jian-Qing Shi, 2001. "Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data," Biometrics, The International Biometric Society, vol. 57(3), pages 787-794, September.
    5. Jank, Wolfgang, 2006. "Ascent EM for fast and global solutions to finite mixtures: An application to curve-clustering of online auctions," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 747-761, November.
    6. Bakker, Bart & Heskes, Tom, 2007. "Learning and approximate inference in dynamic hierarchical models," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 821-839, October.
    7. Bárcena Ruiz, María Jesús & Tusell Palmer, Fernando Jorge, 2002. "Multivariate Data Imputation using Trees," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    8. Braver, Sanford L. & Smith, Melanie C., 1996. "Maximizing both external and internal validity in longitudinal true experiments with voluntary treatments: The "combined modified" design," Evaluation and Program Planning, Elsevier, vol. 19(4), pages 287-300, 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:eee:csdana:v:23:y:1997:i:4:p:467-476. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.