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Bias Reduction and a Solution for Separation of Logistic Regression with Missing Covariates

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  • Tapabrata Maiti
  • Vivek Pradhan

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  • Tapabrata Maiti & Vivek Pradhan, 2009. "Bias Reduction and a Solution for Separation of Logistic Regression with Missing Covariates," Biometrics, The International Biometric Society, vol. 65(4), pages 1262-1269, December.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1262-1269
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01186.x
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    References listed on IDEAS

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    1. Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz & Amy H. Herring, 2005. "Missing-Data Methods for Generalized Linear Models: A Comparative Review," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 332-346, March.
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