IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v66y2010i1p123-130.html
   My bibliography  Save this article

Analyzing Incomplete Data Subject to a Threshold using Empirical Likelihood Methods: An Application to a Pneumonia Risk Study in an ICU Setting

Author

Listed:
  • Jihnhee Yu
  • Albert Vexler
  • Lili Tian

Abstract

No abstract is available for this item.

Suggested Citation

  • Jihnhee Yu & Albert Vexler & Lili Tian, 2010. "Analyzing Incomplete Data Subject to a Threshold using Empirical Likelihood Methods: An Application to a Pneumonia Risk Study in an ICU Setting," Biometrics, The International Biometric Society, vol. 66(1), pages 123-130, March.
    • Handle: RePEc:bla:biomet:v:66:y:2010:i:1:p:123-130
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01228.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. Jing Qin & Denis H. Y. Leung, 2005. "A Semiparametric Two-Component “Compound” Mixture Model and Its Application to Estimating Malaria Attributable Fractions," Biometrics, The International Biometric Society, vol. 61(2), pages 456-464, June.
    2. Albert Vexler & Aiyi Liu & Ekaterina Eliseeva & Enrique F. Schisterman, 2008. "Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection," Biometrics, The International Biometric Society, vol. 64(3), pages 895-903, September.
    3. Hongwei Zhao & Lili Tian, 2001. "On Estimating Medical Cost and Incremental Cost-Effectiveness Ratios with Censored Data," Biometrics, The International Biometric Society, vol. 57(4), pages 1002-1008, December.
    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. Vexler, Albert & Zou, Li & Hutson, Alan D., 2019. "The empirical likelihood prior applied to bias reduction of general estimating equations," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 96-106.
    2. Albert Vexler & Young Min Kim & Jihnhee Yu & Nicole A. Lazar & Alan D. Hutson, 2014. "Computing Critical Values of Exact Tests by Incorporating Monte Carlo Simulations Combined with Statistical Tables," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(4), pages 1013-1030, December.

    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. Lu Deng & Wendy Lou & Nicholas Mitsakakis, 2019. "Modeling right-censored medical cost data in regression and the effects of covariates," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(1), pages 143-155, March.
    2. Laura Grigolon & Laura Lasio, 2023. "Biased Beliefs and Stigma as Barriers to Treatment and Innovation Adoption," CRC TR 224 Discussion Paper Series crctr224_2023_277v2, University of Bonn and University of Mannheim, Germany.
    3. Hongwei Zhao & Chen Zuo & Shuai Chen & Heejung Bang, 2012. "Nonparametric Inference for Median Costs with Censored Data," Biometrics, The International Biometric Society, vol. 68(3), pages 717-725, September.
    4. Elamin H. Elbasha, 2005. "Risk aversion and uncertainty in cost‐effectiveness analysis: the expected‐utility, moment‐generating function approach," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 457-470, May.
    5. Yifei Sun & Mei-Cheng Wang, 2017. "Evaluating Utility Measurement From Recurrent Marker Processes in the Presence of Competing Terminal Events," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 745-756, April.
    6. Lois G. Kim & Simon G. Thompson, 2011. "Estimation of life‐years gained and cost effectiveness based on cause‐specific mortality," Health Economics, John Wiley & Sons, Ltd., vol. 20(7), pages 842-852, July.
    7. O'Hagan, Anthony & Stevens, John W., 2004. "On estimators of medical costs with censored data," Journal of Health Economics, Elsevier, vol. 23(3), pages 615-625, May.
    8. Fang, Hong-Bin & Wang, Jiantian & Deng, Dianliang & Tang, Man-Lai, 2011. "Estimating the mean of a mark variable under right censoring on the basis of a state function," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1726-1735, April.
    9. Bochao Jia & Yuan-chin Ivan Chang & Zhanfeng Wang, 2016. "Assessing the diagnostic power of variables measured with a detection limit," Computational Statistics, Springer, vol. 31(4), pages 1287-1303, December.
    10. Hongkun Wang & Hongwei Zhao, 2006. "Estimating Incremental Cost-Effectiveness Ratios and Their Confidence Intervals with Differentially Censored Data," Biometrics, The International Biometric Society, vol. 62(2), pages 570-575, June.
    11. Ma, Hua & Bandos, Andriy I. & Gur, David, 2018. "Informativeness of diagnostic marker values and the impact of data grouping," Computational Statistics & Data Analysis, Elsevier, vol. 117(C), pages 76-89.
    12. Xie, Shangyu & Wan, Alan T.K. & Zhou, Yong, 2015. "Quantile regression methods with varying-coefficient models for censored data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 154-172.

    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:66:y:2010:i:1:p:123-130. 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.