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Communications in Statistics - Theory and Methods Volume 28, 1999 - Issue 1
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Original Articles

A bias correction regression calibration approach in generalized linear mixed measurement error models

Naisyin Wang Department of Statistics, Texas A & M University College Station, Texas, 77843, U.S.A.
,
Xihong Lin Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, 48109, U.S.A.
&
Roberto G. Guttierrez Depeatment of Statistical Science, Southern Methodist university, Dallas, TX 75275, U.S.A.
Pages 217-232 | Received 01 Aug 1998, Published online: 16 Feb 2011

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Joshua N. Sampson, Charles E. Matthews, Laurence S. Freedman, Raymond J. Carroll & Victor Kipnis. (2016) Methods to assess measurement error in questionnaires of sedentary behavior. Journal of Applied Statistics 43:9, pages 1706-1721.
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Norman R. Draper. (2002) APPLIED REGRESSION ANALYSIS BIBLIOGRAPHY UPDATE 2000–2001. Communications in Statistics - Theory and Methods 31:11, pages 2051-2075.
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Articles from other publishers (25)

Maryam Ahangari, Mousa Golalizadeh & Zahra Rezaei Ghahroodi. (2023) Validation Data-Located Modification for the Multilevel Analysis of Miscategorized Nominal Response with Covariates Subject to Measurement Error. Mathematical Methods of Statistics 32:4, pages 223-240.
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Xu Ning, Francis K. C. Hui & Alan H. Welsh. (2022) A double fixed rank kriging approach to spatial regression models with covariate measurement error. Environmetrics 34:1.
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Maryam Ahangari, Mousa golalizadeh & Zahra Rezaei Ghahroodi. (2019) Likelihood Inference in the Random Effects Logistic Regression Model with ‎Response Misclassification and Covariate Subject to Measurement Error‎. Journal of Statistical Research of Iran 16:1, pages 255-286.
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Ming Li, Cheng Zhan, Xizhao Sui, Wei Jiang, Yu Shi, Xiaodong Yang, Mingxiang Feng, Jun Wang & Qun Wang. (2019) A Proposal to Reflect Survival Difference and Modify the Staging System for Lung Adenocarcinoma and Squamous Cell Carcinoma: Based on the Machine Learning. Frontiers in Oncology 9.
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M. StrandS. SillauG. K. GrunwaldN. Rabinovitch. (2015) Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies. Environmetrics 26:6, pages 393-405.
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Taraneh Abarin, He Li, Liqun Wang & Laurent Briollais. (2012) On Method of Moments Estimation in Linear Mixed Effects Models with Measurement Error on Covariates and Response with Application to a Longitudinal Study of Gene-Environment Interaction. Statistics in Biosciences 6:1, pages 1-18.
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Matthew StrandStefan SillauGary K. GrunwaldNathan Rabinovitch. (2014) Regression calibration for models with two predictor variables measured with error and their interaction, using instrumental variables and longitudinal data. Statistics in Medicine 33:3, pages 470-487.
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Roger Schürch, Margaret J. Couvillon, Dominic D. R. Burns, Kiah Tasman, David Waxman & Francis L. W. Ratnieks. (2013) Incorporating variability in honey bee waggle dance decoding improves the mapping of communicated resource locations. Journal of Comparative Physiology A 199:12, pages 1143-1152.
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Michela Battauz. (2011) Laplace approximation in measurement error models. Biometrical Journal 53:3, pages 411-425.
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Hyan G-MI Kim, David Richardson, Dana Loomis, Martie Van Tongeren & Igor Burstyn. (2010) Bias in the estimation of exposure effects with individual- or group-based exposure assessment. Journal of Exposure Science & Environmental Epidemiology 21:2, pages 212-221.
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Masataka Taguri, Yutaka Matsuyama, Yasuo Ohashi, Hirohito Sone, Yukio Yoshimura & Nobuhiro Yamada. (2010) A Hierarchical Regression Model for Dietary Data Adjusting for Covariates Measurement Error by Regression Calibration: An Application to a Large Prospective Study for Diabetic Complications. Japanese Journal of Biometrics 31:2, pages 49-62.
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Hyejin KO & Marie Davidian. (2004) Correcting for Measurement Error in Individual‐Level Covariates in Nonlinear Mixed Effects Models. Biometrics 56:2, pages 368-375.
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