IDEAS home Printed from https://ideas.repec.org/a/oup/biomet/v91y2004i2p321-330.html
   My bibliography  Save this article

Analysis of longitudinal data in case-control studies

Author

Listed:
  • Eunsik Park

Abstract

Case-control studies for longitudinal data are considered. Among repeated binary measurements of disease status in each subject, the exposure levels of risk factors for all diseased cases are identified and the exposure levels for only a small fraction of disease-free cases, to be regarded as controls, are identified. Case-control studies for longitudinal data bring about economies in cost and time when the disease is rare and when assessing the exposure level of risk factors is difficult. We propose a way of using an ordinary logistic model to analyse case-control longitudinal data. We prove that the proposed estimator is consistent and asymptotically normally distributed provided that the choice of control observations is independent of the covariates for those subjects. We also discuss the validity of the generalised estimating equation method for case-control longitudinal data. Simulation results are provided, and a real example is presented. Copyright Biometrika Trust 2004, Oxford University Press.

Suggested Citation

  • Eunsik Park, 2004. "Analysis of longitudinal data in case-control studies," Biometrika, Biometrika Trust, vol. 91(2), pages 321-330, June.
    • Handle: RePEc:oup:biomet:v:91:y:2004:i:2:p:321-330
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ruth M. Pfeiffer & Louise Ryan & Augusto Litonjua & David Pee, 2005. "A Case-Cohort Design for Assessing Covariate Effects in Longitudinal Studies," Biometrics, The International Biometric Society, vol. 61(4), pages 982-991, December.
    2. Dhiman Bhadra & Michael J. Daniels & Sungduk Kim & Malay Ghosh & Bhramar Mukherjee, 2012. "A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case–Control Studies," Biometrics, The International Biometric Society, vol. 68(2), pages 361-370, June.
    3. Jonathan S. Schildcrout & Patrick J. Heagerty, 2011. "Outcome-Dependent Sampling from Existing Cohorts with Longitudinal Binary Response Data: Study Planning and Analysis," Biometrics, The International Biometric Society, vol. 67(4), pages 1583-1593, December.
    4. Eunsik Park & Yuan-chin I. Chang, 2010. "Sequential Analysis of Longitudinal Data in a Prospective Nested Case–Control Study," Biometrics, The International Biometric Society, vol. 66(4), pages 1034-1042, 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:oup:biomet:v:91:y:2004:i:2:p:321-330. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/biomet .

    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.