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Binomial Regression with Misclassification

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  • Carlos Daniel Paulino
  • Paulo Soares
  • John Neuhaus

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Suggested Citation

  • Carlos Daniel Paulino & Paulo Soares & John Neuhaus, 2003. "Binomial Regression with Misclassification," Biometrics, The International Biometric Society, vol. 59(3), pages 670-675, September.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:3:p:670-675
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    File URL: http://hdl.handle.net/10.1111/1541-0420.00077
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    References listed on IDEAS

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    1. R. Rekaya & K. A. Weigel & D. Gianola, 2001. "Threshold Model for Misclassified Binary Responses with Applications to Animal Breeding," Biometrics, The International Biometric Society, vol. 57(4), pages 1123-1129, December.
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    Cited by:

    1. Jonathan N. Katz & Gabriel Katz, 2010. "Correcting for Survey Misreports Using Auxiliary Information with an Application to Estimating Turnout," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 815-835, July.
    2. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.
    3. Hanaan Yaseen, 2018. "Dividend policy and socio-cultural factors: some preliminary findings," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 10(2), pages 077-094, December.
    4. Naranjo, L. & Martín, J. & Pérez, C.J., 2014. "Bayesian binary regression with exponential power link," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 464-476.
    5. Lu Wang & Jill Schnall & Aeron Small & Rebecca A. Hubbard & Jason H. Moore & Scott M. Damrauer & Jinbo Chen, 2021. "Case contamination in electronic health records based case‐control studies," Biometrics, The International Biometric Society, vol. 77(1), pages 67-77, March.
    6. Paulino, Carlos Daniel & Silva, Giovani & Alberto Achcar, Jorge, 2005. "Bayesian analysis of correlated misclassified binary data," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 1120-1131, June.
    7. Qi Zhou & Yoo-Mi Chin & James D. Stamey & Joon Jin Song, 2020. "Bayesian sensitivity analysis to unmeasured confounding for misclassified data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(4), pages 577-596, December.
    8. Sepúlveda, Nuno & Paulino, Carlos Daniel & Penha-Gonçalves, Carlos, 2009. "Bayesian analysis of allelic penetrance models for complex binary traits," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1271-1283, February.
    9. Sajad Shojaee & Nastaran Hajizadeh & Hadis Najafimehr & Luca Busani & Mohamad Amin Pourhoseingholi & Ahmad Reza Baghestani & Maryam Nasserinejad & Sara Ashtari & Mohammad Reza Zali, 2018. "Bayesian adjustment for trend of colorectal cancer incidence in misclassified registering across Iranian provinces," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-10, December.
    10. repec:rfb:journl:v:10:y:2018:i:2:p:0077-094 is not listed on IDEAS

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