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A Semiparametric Censoring Bias Model for Estimating the Cumulative Risk of a False-Positive Screening Test Under Dependent Censoring

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  • Rebecca A. Hubbard
  • Diana L. Miglioretti

Abstract

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  • Rebecca A. Hubbard & Diana L. Miglioretti, 2013. "A Semiparametric Censoring Bias Model for Estimating the Cumulative Risk of a False-Positive Screening Test Under Dependent Censoring," Biometrics, The International Biometric Society, vol. 69(1), pages 245-253, March.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:1:p:245-253
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01831.x
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    References listed on IDEAS

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    1. Daniel Scharfstein & James M. Robins & Wesley Eddings & Andrea Rotnitzky, 2001. "Inference in Randomized Studies with Informative Censoring and Discrete Time-to-Event Endpoints," Biometrics, The International Biometric Society, vol. 57(2), pages 404-413, June.
    2. Jian-Lun Xu & Richard M. Fagerstrom & Philip C. Prorok & Barnett S. Kramer, 2004. "Estimating the Cumulative Risk of a False-Positive Test in a Repeated Screening Program," Biometrics, The International Biometric Society, vol. 60(3), pages 651-660, September.
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    Cited by:

    1. Marzieh K Golmakani & Rebecca A Hubbard & Diana L Miglioretti, 2022. "Nonhomogeneous Markov chain for estimating the cumulative risk of multiple false positive screening tests," Biometrics, The International Biometric Society, vol. 78(3), pages 1244-1256, September.
    2. Stuart G. Baker, 2013. "Letter to the Editor: “Comment on Hubbard and Miglioretti (2013), Consider Also a Selection Model for the Cumulative Risk of False Positive Screening Tests”," Biometrics, The International Biometric Society, vol. 69(4), pages 1084-1084, December.

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