IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v68y2012i3p745-754.html
   My bibliography  Save this article

Impact of Time to Start Treatment Following Infection with Application to Initiating HAART in HIV-Positive Patients

Author

Listed:
  • Judith J. Lok
  • Victor DeGruttola

Abstract

No abstract is available for this item.

Suggested Citation

  • Judith J. Lok & Victor DeGruttola, 2012. "Impact of Time to Start Treatment Following Infection with Application to Initiating HAART in HIV-Positive Patients," Biometrics, The International Biometric Society, vol. 68(3), pages 745-754, September.
  • Handle: RePEc:bla:biomet:v:68:y:2012:i:3:p:745-754
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01738.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. Judith Lok & Richard Gill & Aad Van Der Vaart & James Robins, 2004. "Estimating the causal effect of a time‐varying treatment on time‐to‐event using structural nested failure time models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(3), pages 271-295, August.
    2. Judith J. Lok, 2007. "Structural Nested Models and Standard Software: A Mathematical Foundation through Partial Likelihood," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 34(1), pages 186-206, March.
    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. Yasuhiro Hagiwara & Tomohiro Shinozaki & Yutaka Matsuyama, 2020. "G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome," Biometrics, The International Biometric Society, vol. 76(3), pages 799-810, September.
    2. Keith Battocchi & Eleanor Dillon & Maggie Hei & Greg Lewis & Miruna Oprescu & Vasilis Syrgkanis, 2021. "Estimating the Long-Term Effects of Novel Treatments," Papers 2103.08390, arXiv.org, revised Feb 2022.
    3. Xin Chen & Rui Song & Jiajia Zhang & Swann Arp Adams & Liuquan Sun & Wenbin Lu, 2022. "On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime," Biometrics, The International Biometric Society, vol. 78(4), pages 1377-1389, December.
    4. Shu Yang, 2022. "Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations," Biometrics, The International Biometric Society, vol. 78(3), pages 937-949, September.
    5. Vasilis Syrgkanis & Ruohan Zhan, 2023. "Post-Episodic Reinforcement Learning Inference," Papers 2302.08854, arXiv.org, revised Jul 2023.

    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. Markus Frölich & Martin Huber, 2014. "Treatment Evaluation With Multiple Outcome Periods Under Endogeneity and Attrition," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(508), pages 1697-1711, December.
    2. Yujie Xu & Vivian Loftness & Edson Severnini, 2021. "Using Machine Learning to Predict Retrofit Effects for a Commercial Building Portfolio," Energies, MDPI, vol. 14(14), pages 1-24, July.
    3. Stephen Kastoryano & Bas van der Klaauw, 2022. "Dynamic evaluation of job search assistance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 227-241, March.
    4. Robin Henderson & Phil Ansell & Deyadeen Alshibani, 2010. "Regret-Regression for Optimal Dynamic Treatment Regimes," Biometrics, The International Biometric Society, vol. 66(4), pages 1192-1201, December.
    5. Rui Chen & Menggang Yu, 2021. "Tailored optimal posttreatment surveillance for cancer recurrence," Biometrics, The International Biometric Society, vol. 77(3), pages 942-955, September.
    6. Kevin He & Yun Li & Panduranga S. Rao & Randall S. Sung & Douglas E. Schaubel, 2020. "Prognostic score matching methods for estimating the average effect of a non-reversible binary time-dependent treatment on the survival function," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(3), pages 451-470, July.
    7. Daniel Commenges & Anne Gégout‐Petit, 2009. "A general dynamical statistical model with causal interpretation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(3), pages 719-736, June.

    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:68:y:2012:i:3:p:745-754. 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.