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Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons

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  • Mary J. Morrissey
  • Donna Spiegelman

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  • Mary J. Morrissey & Donna Spiegelman, 1999. "Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons," Biometrics, The International Biometric Society, vol. 55(2), pages 338-344, June.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:2:p:338-344
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00338.x
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    Citations

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    Cited by:

    1. Grace Y. Yi & Wenqing He, 2017. "Analysis of case-control data with interacting misclassified covariates," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-16, December.
    2. Gordon J. Prescott & Paul H. Garthwaite, 2002. "A Simple Bayesian Analysis of Misclassified Binary Data with a Validation Substudy," Biometrics, The International Biometric Society, vol. 58(2), pages 454-458, June.
    3. Eirini-Christina Saloniki & Amanda Gosling, 2012. "Point identification in the presence of measurement error in discrete variables: application - wages and disability," Studies in Economics 1214, School of Economics, University of Kent.
    4. Helmut Küchenhoff & Samuel M. Mwalili & Emmanuel Lesaffre, 2006. "A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX," Biometrics, The International Biometric Society, vol. 62(1), pages 85-96, March.
    5. Stamey, James & Gerlach, Richard, 2007. "Bayesian sample size determination for case-control studies with misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2982-2992, March.
    6. Robert H. Lyles, 2002. "A Note on Estimating Crude Odds Ratios in Case–Control Studies with Differentially Misclassified Exposure," Biometrics, The International Biometric Society, vol. 58(4), pages 1034-1036, December.
    7. Christina A. Holcroft & Donna Spiegelman, 1999. "Design of Validation Studies for Estimating the Odds Ratio of Exposure–Disease Relationships When Exposure Is Misclassified," Biometrics, The International Biometric Society, vol. 55(4), pages 1193-1201, December.
    8. Mak Timothy Shin Heng & Best Nicky & Rushton Lesley, 2015. "Robust Bayesian Sensitivity Analysis for Case–Control Studies with Uncertain Exposure Misclassification Probabilities," The International Journal of Biostatistics, De Gruyter, vol. 11(1), pages 135-149, May.
    9. Roy Surupa & Banerjee, Tathagata, 2007. "Analysis of Mixed Outcomes: Misclassified Binary Responses and Measurement Error in Covariates," IIMA Working Papers WP2007-01-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    10. Dewi Rahardja, 2022. "Omnibus Tests for Multiple Binomial Proportions via Doubly Sampled Framework with Under-Reported Data," Stats, MDPI, vol. 5(2), pages 1-14, April.
    11. Dewi Rahardja, 2019. "Bayesian Inference for the Difference of Two Proportion Parameters in Over-Reported Two-Sample Binomial Data Using the Doubly Sample," Stats, MDPI, vol. 2(1), pages 1-10, February.
    12. Robert H. Lyles & John M. Williamson & Hung-Mo Lin & Charles M. Heilig, 2005. "Extending McNemar's Test: Estimation and Inference When Paired Binary Outcome Data Are Misclassified," Biometrics, The International Biometric Society, vol. 61(1), pages 287-294, March.
    13. Paul S. Albert & Aiyi Liu & Tonja Nansel, 2014. "Efficient logistic regression designs under an imperfect population identifier," Biometrics, The International Biometric Society, vol. 70(1), pages 175-184, March.

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