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Case–Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities

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  • Paul Gustafson
  • Nhu D. Le
  • Refik Saskin

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  • Paul Gustafson & Nhu D. Le & Refik Saskin, 2001. "Case–Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities," Biometrics, The International Biometric Society, vol. 57(2), pages 598-609, June.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:2:p:598-609
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00598.x
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    References listed on IDEAS

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    1. E. Rahme & L. Joseph & T. W. Gyorkos, 2000. "Bayesian sample size determination for estimating binomial parameters from data subject to misclassification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(1), pages 119-128.
    2. David J. Spiegelhalter & Laurence S. Freedman & Mahesh K. B. Parmar, 1994. "Bayesian Approaches to Randomized Trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 157(3), pages 357-387, May.
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    Cited by:

    1. Rahardja, Dewi & Young, Dean M., 2010. "Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1281-1287, May.
    2. Nandini Dendukuri & Elham Rahme & Patrick Bélisle & Lawrence Joseph, 2004. "Bayesian Sample Size Determination for Prevalence and Diagnostic Test Studies in the Absence of a Gold Standard Test," Biometrics, The International Biometric Society, vol. 60(2), pages 388-397, June.
    3. Partha Lahiri & Noriah M. Al-Kandari, 2016. "Prediction of a Function of Misclassified Binary Data," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(3), pages 429-447, September.
    4. Rahardja, Dewi & Young, Dean M., 2011. "Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 813-823, January.
    5. Gustafson Paul, 2010. "Bayesian Inference for Partially Identified Models," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-20, March.
    6. Paul Gustafson & Sander Greenland, 2006. "The Performance of Random Coefficient Regression in Accounting for Residual Confounding," Biometrics, The International Biometric Society, vol. 62(3), pages 760-768, September.
    7. Paul Gustafson, 2006. "Sample size implications when biases are modelled rather than ignored," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 865-881, October.
    8. Paul Gustafson & Lawrence C. McCandless, 2010. "Probabilistic Approaches to Better Quantifying the Results of Epidemiologic Studies," IJERPH, MDPI, vol. 7(4), pages 1-20, April.
    9. Wang Dongxu & Shen Tian & Gustafson Paul, 2012. "Partial Identification arising from Nondifferential Exposure Misclassification: How Informative are Data on the Unlikely, Maybe, and Likely Exposed?," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-27, November.
    10. Paul Gustafson & Nhu D. Le, 2002. "Comparing the Effects of Continuous and Discrete Covariate Mismeasurement, with Emphasis on the Dichotomization of Mismeasured Predictors," Biometrics, The International Biometric Society, vol. 58(4), pages 878-887, December.
    11. Noriah M. Al-Kandari & Partha Lahiri, 2016. "Prediction Of A Function Of Misclassified Binary Data," Statistics in Transition New Series, Polish Statistical Association, vol. 17(3), pages 429-447, September.
    12. Al-Kandari Noriah M. & Lahiri Partha, 2016. "Prediction of a Function of Misclassified Binary Data," Statistics in Transition New Series, Statistics Poland, vol. 17(3), pages 429-447, September.

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