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Regression for skewed biomarker outcomes subject to pooling

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  • Emily M. Mitchell
  • Robert H. Lyles
  • Amita K. Manatunga
  • Michelle Danaher
  • Neil J. Perkins
  • Enrique F. Schisterman

Abstract

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Suggested Citation

  • Emily M. Mitchell & Robert H. Lyles & Amita K. Manatunga & Michelle Danaher & Neil J. Perkins & Enrique F. Schisterman, 2014. "Regression for skewed biomarker outcomes subject to pooling," Biometrics, The International Biometric Society, vol. 70(1), pages 202-211, March.
    • Handle: RePEc:bla:biomet:v:70:y:2014:i:1:p:202-211
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    File URL: http://hdl.handle.net/10.1111/biom.12134
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    References listed on IDEAS

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    1. Clarice R. Weinberg & David M. Umbach, 1999. "Using Pooled Exposure Assessment to Improve Efficiency in Case-Control Studies," Biometrics, The International Biometric Society, vol. 55(3), pages 718-726, September.
    2. S. Vansteelandt & E. Goetghebeur & T. Verstraeten, 2000. "Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples," Biometrics, The International Biometric Society, vol. 56(4), pages 1126-1133, December.
    3. Chang-Xing Ma & Albert Vexler & Enrique F. Schisterman & Lili Tian, 2011. "Cost-efficient designs based on linearly associated biomarkers," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2739-2750, January.
    4. Zhiwei Zhang & Paul S. Albert, 2011. "Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach," Biometrics, The International Biometric Society, vol. 67(2), pages 636-645, June.
    5. J. G. Booth & J. P. Hobert, 1999. "Maximizing generalized linear mixed model likelihoods with an automated Monte Carlo EM algorithm," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 265-285.
    6. Yaakov Malinovsky & Paul S. Albert & Enrique F. Schisterman, 2012. "Pooling Designs for Outcomes under a Gaussian Random Effects Model," Biometrics, The International Biometric Society, vol. 68(1), pages 45-52, March.
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    Cited by:

    1. Robert H. Lyles & Dane Van Domelen & Emily M. Mitchell & Enrique F. Schisterman, 2015. "A Discriminant Function Approach to Adjust for Processing and Measurement Error When a Biomarker is Assayed in Pooled Samples," IJERPH, MDPI, vol. 12(11), pages 1-18, November.
    2. Dewei Wang & Xichen Mou & Yan Liu, 2022. "Varying‐coefficient regression analysis for pooled biomonitoring," Biometrics, The International Biometric Society, vol. 78(4), pages 1328-1341, December.
    3. Mou, Xichen & Wang, Dewei, 2024. "Additive partially linear model for pooled biomonitoring data," Computational Statistics & Data Analysis, Elsevier, vol. 190(C).
    4. Karyn Heavner & Craig Newschaffer & Irva Hertz-Picciotto & Deborah Bennett & Igor Burstyn, 2015. "Pooling Bio-Specimens in the Presence of Measurement Error and Non-Linearity in Dose-Response: Simulation Study in the Context of a Birth Cohort Investigating Risk Factors for Autism Spectrum Disorder," IJERPH, MDPI, vol. 12(11), pages 1-20, November.
    5. Wang, Dewei & McMahan, Christopher S. & Tebbs, Joshua M. & Bilder, Christopher R., 2018. "Group testing case identification with biomarker information," Computational Statistics & Data Analysis, Elsevier, vol. 122(C), pages 156-166.

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