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Estimating Incident Population Distribution from Prevalent Data

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  • Kwun Chuen Gary Chan
  • Mei-Cheng Wang

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  • Kwun Chuen Gary Chan & Mei-Cheng Wang, 2012. "Estimating Incident Population Distribution from Prevalent Data," Biometrics, The International Biometric Society, vol. 68(2), pages 521-531, June.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:2:p:521-531
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01708.x
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    References listed on IDEAS

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    1. Bergeron, Pierre-Jerome & Asgharian, Masoud & Wolfson, David B., 2008. "Covariate Bias Induced by Length-Biased Sampling of Failure Times," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 737-742, June.
    2. Shen, Yu & Ning, Jing & Qin, Jing, 2009. "Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1192-1202.
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    Cited by:

    1. Yu Shen & Jing Ning & Jing Qin, 2017. "Nonparametric and semiparametric regression estimation for length-biased survival data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(1), pages 3-24, January.

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