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Semiparametric Estimation Exploiting Covariate Independence in Two-Phase Randomized Trials

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  • James Y. Dai
  • Michael LeBlanc
  • Charles Kooperberg

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  • James Y. Dai & Michael LeBlanc & Charles Kooperberg, 2009. "Semiparametric Estimation Exploiting Covariate Independence in Two-Phase Randomized Trials," Biometrics, The International Biometric Society, vol. 65(1), pages 178-187, March.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:1:p:178-187
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01046.x
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    References listed on IDEAS

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    1. James R. Carpenter & Michael G. Kenward & Stijn Vansteelandt, 2006. "A comparison of multiple imputation and doubly robust estimation for analyses with missing data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 571-584, July.
    2. Nilanjan Chatterjee & Raymond J. Carroll, 2005. "Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies," Biometrika, Biometrika Trust, vol. 92(2), pages 399-418, June.
    3. J. F. Lawless & J. D. Kalbfleisch & C. J. Wild, 1999. "Semiparametric methods for response‐selective and missing data problems in regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(2), pages 413-438, April.
    4. Chatterjee N. & Chen Y-H. & Breslow N.E., 2003. "A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 158-168, January.
    5. Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz, 1999. "Monte Carlo EM for Missing Covariates in Parametric Regression Models," Biometrics, The International Biometric Society, vol. 55(2), pages 591-596, June.
    6. Weaver, Mark A. & Zhou, Haibo, 2005. "An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 459-469, June.
    7. Nilanjan Chatterjee & Yi‐Hau Chen, 2007. "Maximum likelihood inference on a mixed conditionally and marginally specified regression model for genetic epidemiologic studies with two‐phase sampling," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(2), pages 123-142, April.
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    Cited by:

    1. Jixiong Wang & Ashish Patel & James M.S. Wason & Paul J. Newcombe, 2022. "Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials," Biometrics, The International Biometric Society, vol. 78(1), pages 141-150, March.

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