IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v57y2001i1p62-73.html
   My bibliography  Save this article

Covariate Measurement Error Adjustment for Matched Case–Control Studies

Author

Listed:
  • Lisa M. McShane
  • Douglas N. Midthune
  • Joanne F. Dorgan
  • Laurence S. Freedman
  • Raymond J. Carroll

Abstract

Summary. We propose a conditional scores procedure for obtaining bias‐corrected estimates of log odds ratios from matched case‐control data in which one or more covariates are subject to measurement error. The approach involves conditioning on sufficient statistics for the unobservable true covariates that are treated as fixed unknown parameters. For the case of Gaussian nondifferential measurement error, we derive a set of unbiased score equations that can then be solved to estimate the log odds ratio parameters of interest. The procedure successfully removes the bias in naive estimates, and standard error estimates are obtained by resampling methods. We present an example of the procedure applied to data from a matched case–control study of prostate cancer and serum hormone levels, and we compare its performance to that of regression calibration procedures.

Suggested Citation

  • Lisa M. McShane & Douglas N. Midthune & Joanne F. Dorgan & Laurence S. Freedman & Raymond J. Carroll, 2001. "Covariate Measurement Error Adjustment for Matched Case–Control Studies," Biometrics, The International Biometric Society, vol. 57(1), pages 62-73, March.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:1:p:62-73
    DOI: 10.1111/j.0006-341X.2001.00062.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.0006-341X.2001.00062.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.0006-341X.2001.00062.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Nels G. Johnson & Inyoung Kim, 2019. "Semiparametric approaches for matched case–control studies with error-in-covariates," Computational Statistics, Springer, vol. 34(4), pages 1675-1692, December.
    2. Sinha, Samiran & Yoo, Seungyoon, 2013. "Score tests in the presence of errors in covariates in matched case-control studies," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 157-171.
    3. Brent A. Coull & Seokho Lee & Glen McGee & Justin Manjourides & Murray A. Mittleman & Gregory A. Wellenius, 2020. "Corrections for measurement error due to delayed onset of illness for case‐crossover designs," Biometrics, The International Biometric Society, vol. 76(3), pages 963-972, September.

    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:57:y:2001:i:1:p:62-73. 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: 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.