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Journal Abstract Search


148 related items for PubMed ID: 21284016

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  • 2. Differential measurement errors in zero-truncated regression models for count data.
    Huang YH, Hwang WH, Chen FY.
    Biometrics; 2011 Dec; 67(4):1471-80. PubMed ID: 21466529
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  • 4. Joint models for a primary endpoint and multiple longitudinal covariate processes.
    Li E, Wang N, Wang NY.
    Biometrics; 2007 Dec; 63(4):1068-78. PubMed ID: 17501940
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  • 8. Segmented regression with errors in predictors: semi-parametric and parametric methods.
    Küchenhoff H, Carroll RJ.
    Stat Med; 2007 Dec; 16(1-3):169-88. PubMed ID: 9004390
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  • 10. Type I and Type II error under random-effects misspecification in generalized linear mixed models.
    Litière S, Alonso A, Molenberghs G.
    Biometrics; 2007 Dec; 63(4):1038-44. PubMed ID: 17425642
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  • 12. Instrumental variables vs. grouping approach for reducing bias due to measurement error.
    Batistatou E, McNamee R.
    Int J Biostat; 2008 Dec; 4(1):Article 8. PubMed ID: 22462115
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  • 16. Monte Carlo methods for nonparametric regression with heteroscedastic measurement error.
    McIntyre J, Johnson BA, Rappaport SM.
    Biometrics; 2018 Jun; 74(2):498-505. PubMed ID: 28914966
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  • 17. Semiparametric maximum likelihood for measurement error model regression.
    Schafer DW.
    Biometrics; 2001 Mar; 57(1):53-61. PubMed ID: 11252618
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  • 18. Constrained S-estimators for linear mixed effects models with covariance components.
    Chervoneva I, Vishnyakov M.
    Stat Med; 2011 Jun 30; 30(14):1735-50. PubMed ID: 21638300
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