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Expected estimating equation using calibration data for generalized linear models with a mixture of Berkson and classical errors in covariates

机译：预期估计等式，使用校准数据进行广义线性模型，与协变量中的伯克隆和经典误差的混合

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Jean de Dieu Tapsoba; Shen-Ming Lee; Ching-Yun Wang;
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年度 2013
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1. De Dieu Tapsoba, J.a , Lee, S.-M.b , Wang, C.-Y.a Expected estimating equation using calibration data for generalized linear models with a mixture of Berkson and classical errors in covariates [J] . DeDieuTapsobaJ., LeeS.-M., WangC.-Y. Statistics in medicine . 2014,第4期

机译：De Dieu Tapsoba，J.a，Lee，S.-M.b，Wang，C.-Y.a期望估计方程，使用带有Berkson和协变量经典误差的广义线性模型的校准数据
2. Mixtures of Berkson and classical covariate measurement error in the linear mixed model: Bias analysis and application to a study on ultrafine particles [J] . Deffner Veronika, Küchenhoff Helmut, Breitner Susanne, Biometrical Journal . 2018,第3期

机译：线性混合模型中Berkson和古典协变量测量误差的混合物：偏差分析和应用于超细颗粒的研究
3. Performance of Wald-type estimator for parametric component in partial linear regression with a mixture of Berkson and classical error models [J] . Wu Yuh-Jenn, Fang Wei-Quan Communications in Statistics . 2017,第5期

机译：伯克森模型和经典误差模型混合的部分线性回归中Wald型估计量对参数分量的性能
4. Improve the Bayesian Generalized Latent Variable Models with Non-linear Variable and Covariate of Dichotomous Data [C] . Thanoon Y. Thanoon, Robiah Adnan International Conference of Mathematics . 2019

机译：用非线性变量和二分法数据的共变量改善贝叶斯广义潜变模型
5. Diagnostics and model selection for generalized linear models and generalized estimating equations [D] . Deroche, Chelsea Boquet. 2015

机译：广义线性模型和广义估计方程的诊断和模型选择
6. Expected Estimating Equation using Calibration Data for Generalized Linear Models with a Mixture of Berkson and Classical Errors in Covariates [O] . Jean de Dieu Tapsoba, Shen-Ming Lee, Ching-Yun Wang -1

机译：混合伯克森和经典误差的广义线性模型使用校准数据的期望估计方程
7. Simulation Extrapolation Method for Cox Regression Model with a Mixture of Berkson and Classical Errors in the Covariates using Calibration Data [O] . Jean de Dieu Tapsoba, Edward C. Chao, Ching-Yun Wang 2019

机译：使用校准数据的协调因子混合伯克隆和经典误差的COX回归模型的仿真外推方法

Expected estimating equation using calibration data for generalized linear models with a mixture of Berkson and classical errors in covariates

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