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Journal Abstract Search

435 related items for PubMed ID: 11677827

  • 1.
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  • 2. Empirical Likelihood in Nonignorable Covariate-Missing Data Problems.
    Xie Y, Zhang B.
    Int J Biostat; 2017 Apr 20; 13(1):. PubMed ID: 28441139
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  • 3. A pairwise likelihood augmented Cox estimator for left-truncated data.
    Wu F, Kim S, Qin J, Saran R, Li Y.
    Biometrics; 2018 Mar 20; 74(1):100-108. PubMed ID: 28853158
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  • 5. Cox regression with missing covariate data using a modified partial likelihood method.
    Martinussen T, Holst KK, Scheike TH.
    Lifetime Data Anal; 2016 Oct 20; 22(4):570-88. PubMed ID: 26493471
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  • 9. Semiparametric analysis of incomplete current status outcome data under transformation models.
    Wen CC, Chen YH.
    Biometrics; 2014 Jun 20; 70(2):335-45. PubMed ID: 24571634
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  • 11. Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards.
    Díaz I, Colantuoni E, Hanley DF, Rosenblum M.
    Lifetime Data Anal; 2019 Jul 20; 25(3):439-468. PubMed ID: 29492746
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  • 12. Robust best linear weighted estimator with missing covariates in survival analysis.
    Wang CY, Hsu L, Harrison T.
    Stat Med; 2024 Apr 30; 43(9):1790-1803. PubMed ID: 38402690
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  • 13. Estimation with interval censored data and covariates.
    Van der Laan MJ, Hubbard A.
    Lifetime Data Anal; 1997 Apr 30; 3(1):77-91. PubMed ID: 9384627
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  • 14. Augmented inverse probability weighted estimator for Cox missing covariate regression.
    Wang CY, Chen HY.
    Biometrics; 2001 Jun 30; 57(2):414-9. PubMed ID: 11414564
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  • 18. A general semiparametric hazards regression model: efficient estimation and structure selection.
    Tong X, Zhu L, Leng C, Leisenring W, Robison LL.
    Stat Med; 2013 Dec 10; 32(28):4980-94. PubMed ID: 23824784
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  • 19. Monte Carlo EM for missing covariates in parametric regression models.
    Ibrahim JG, Chen MH, Lipsitz SR.
    Biometrics; 1999 Jun 10; 55(2):591-6. PubMed ID: 11318219
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