IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v58y2002i1p71-78.html
   My bibliography  Save this article

A Proportional Hazards Model for Incidence and Induced Remission of Disease

Author

Listed:
  • David B. Dunson
  • Donna D. Baird

Abstract

No abstract is available for this item.

Suggested Citation

  • David B. Dunson & Donna D. Baird, 2002. "A Proportional Hazards Model for Incidence and Induced Remission of Disease," Biometrics, The International Biometric Society, vol. 58(1), pages 71-78, March.
  • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:71-78
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00071.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. Leonid G. Hanin & Andrej Yu. Yakovlev, 1996. "A Nonidentifiability Aspect of the Two‐Stage Model of Carcinogenesis," Risk Analysis, John Wiley & Sons, vol. 16(5), pages 711-715, October.
    2. David B. Dunson & Gregg E. Dinse, 2000. "Distinguishing Effects on Tumor Multiplicity and Growth Rate in Chemoprevention Experiments," Biometrics, The International Biometric Society, vol. 56(4), pages 1068-1075, December.
    3. D. B. Dunson, 2000. "Corrigendum: Models for papilloma multiplicity and regression: applications to transgenic mouse studies," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(3), pages 421-422.
    4. D. B. Dunson, 2000. "Models for papilloma multiplicity and regression: applications to transgenic mouse studies," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(1), pages 19-30.
    5. David B. Dunson & Donna D. Baird, 2001. "A Flexible Parametric Model for Combining Current Status and Age at First Diagnosis Data," Biometrics, The International Biometric Society, vol. 57(2), pages 396-403, June.
    6. D. B. Dunson & J. K. Haseman, 1999. "Modeling Tumor Onset and Multiplicity Using Transition Models with Latent Variables," Biometrics, The International Biometric Society, vol. 55(3), pages 965-970, September.
    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. Emilio Augusto Coelho-Barros & Jorge Alberto Achcar & Josmar Mazucheli, 2010. "Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(5), pages 865-880.

    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. David B. Dunson & Gregg E. Dinse, 2000. "Distinguishing Effects on Tumor Multiplicity and Growth Rate in Chemoprevention Experiments," Biometrics, The International Biometric Society, vol. 56(4), pages 1068-1075, December.
    2. Paul S. Albert & Joanna H. Shih, 2003. "Modeling Tumor Growth with Random Onset," Biometrics, The International Biometric Society, vol. 59(4), pages 897-906, December.
    3. Debajyoti Sinha & Tapabrata Maiti, 2004. "A Bayesian Approach for the Analysis of Panel-Count Data with Dependent Termination," Biometrics, The International Biometric Society, vol. 60(1), pages 34-40, March.
    4. Jessica G. Young & Nicholas P. Jewell & Steven J. Samuels, 2008. "Regression Analysis of a Disease Onset Distribution Using Diagnosis Data," Biometrics, The International Biometric Society, vol. 64(1), pages 20-28, March.
    5. Ruth M. Pfeiffer & Sam Mbulaiteye & Eric Engels, 2004. "A Model to Estimate Risk of Infection with Human Herpesvirus 8 Associated with Transfusion from Cross-Sectional Data," Biometrics, The International Biometric Society, vol. 60(1), pages 249-256, March.
    6. David B. Dunson & Donna D. Baird, 2002. "Bayesian Modeling of Incidence and Progression of Disease from Cross-Sectional Data," Biometrics, The International Biometric Society, vol. 58(4), pages 813-822, December.
    7. A. John Bailer & Walter W. Piegorsch, 2000. "From Quantal Counts to Mechanisms and Systems: The Past, Present, and Future of Biometrics in Environmental Toxicology," Biometrics, The International Biometric Society, vol. 56(2), pages 327-336, June.
    8. Michael L. Pennell & David B. Dunson, 2006. "Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data," Biometrics, The International Biometric Society, vol. 62(4), pages 1044-1052, December.

    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:58:y:2002:i:1:p:71-78. 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.