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Extending McNemar's Test: Estimation and Inference When Paired Binary Outcome Data Are Misclassified

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  • Robert H. Lyles
  • John M. Williamson
  • Hung-Mo Lin
  • Charles M. Heilig

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  • 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.
    • Handle: RePEc:bla:biomet:v:61:y:2005:i:1:p:287-294
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2005.040135.x
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    References listed on IDEAS

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    1. John M. Neuhaus, 2002. "Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification," Biometrics, The International Biometric Society, vol. 58(3), pages 675-683, September.
    2. 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.
    3. Wendy Leisenring & Todd Alono & Margaret Sullivan Pepe, 2000. "Comparisons of Predictive Values of Binary Medical Diagnostic Tests for Paired Designs," Biometrics, The International Biometric Society, vol. 56(2), pages 345-351, June.
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    Cited by:

    1. Peter H. Westfall & James F. Troendle & Gene Pennello, 2010. "Multiple McNemar Tests," Biometrics, The International Biometric Society, vol. 66(4), pages 1185-1191, December.

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