Longitudinal Data with Covariate Measurement Error
暂无分享,去创建一个
[1] R. Prentice,et al. Correlated binary regression with covariates specific to each binary observation. , 1988, Biometrics.
[2] Marie Davidian,et al. An estimator for the proportional hazards model with multiple longitudinal covariates measured with error. , 2002, Biostatistics.
[3] David Couper,et al. Modeling Partly Conditional Means with Longitudinal Data , 1997 .
[4] Xiao-Hua Zhou,et al. Marginal methods for clustered longitudinal binary data with incomplete covariates. , 2012, Journal of statistical planning and inference.
[5] Hua Liang,et al. Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates , 2009, 0903.0499.
[6] A. Chesher. The effect of measurement error , 1991 .
[7] Hua Liang,et al. Partially Linear Models with Missing Response Variables and Error-prone Covariates. , 2007, Biometrika.
[8] Hua Liang,et al. Generalized partially linear mixed-effects models incorporating mismeasured covariates , 2009, Annals of the Institute of Statistical Mathematics.
[9] G. Yi,et al. Joint modeling of survival data and mismeasured longitudinal data using the proportional odds model , 2014 .
[10] M Palta,et al. Latent variables, measurement error and methods for analysing longitudinal binary and ordinal data. , 1999, Statistics in medicine.
[11] W. Stroup. Generalized Linear Mixed Models: Modern Concepts, Methods and Applications , 2012 .
[12] Lang Wu,et al. Mixed Effects Models for Complex Data , 2019 .
[13] L. Stefanski. Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models , 1989 .
[14] David R. Cox,et al. Nonlinear component of variance models , 1992 .
[15] E Demidenko,et al. Covariate measurement error and the estimation of random effect parameters in a mixed model for longitudinal data. , 1998, Statistics in medicine.
[16] Joseph G Ibrahim,et al. Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models , 2003, Biometrics.
[17] J. Robins,et al. Estimation of Regression Coefficients When Some Regressors are not Always Observed , 1994 .
[18] Raymond J. Carroll,et al. Estimation and comparison of changes in the presence of informative right censoring by modeling the censoring process , 1988 .
[19] Lang Wu,et al. Simultaneous inference and bias analysis for longitudinal data with covariate measurement error and missing responses. , 2011, Biometrics.
[20] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[21] J. Shao,et al. GMM in linear regression for longitudinal data with multiple covariates measured with error , 2010 .
[22] B. Lindsay,et al. Improving generalised estimating equations using quadratic inference functions , 2000 .
[23] Joseph G Ibrahim,et al. Joint modeling of survival and longitudinal non‐survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group , 2015, Statistics in medicine.
[24] G. McLachlan,et al. The EM algorithm and extensions , 1996 .
[25] Margaret S. Pepe,et al. Expected estimating equations to accommodate covariate measurement error , 2000 .
[26] Marie Davidian,et al. A note on covariate measurement error in nonlinear mixed effects models , 1996 .
[27] C. Klaassen,et al. Discussion to "Inference for semiparametric models: some questions and an answer" by Peter J. Bickel and Jaimyoung Kwon , 2001 .
[28] P. McCullagh,et al. Generalized Linear Models , 1984 .
[29] A. Rotnitzky,et al. Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis by DANIELS, M. J. and HOGAN, J. W , 2009 .
[30] Grace Y Yi,et al. A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates. , 2008, Biostatistics.
[31] Grace Y. Yi,et al. A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates , 2013, Comput. Stat. Data Anal..
[32] R. Carroll,et al. Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error , 2000 .
[33] R. Little. Pattern-Mixture Models for Multivariate Incomplete Data , 1993 .
[34] Grace Y. Yi,et al. Missing Data Mechanisms for Analysing Longitudinal Data with Incomplete Observations in Both Responses and Covariates , 2016 .
[35] Sophia Rabe-Hesketh,et al. Generalized latent variable models: multilevel, longitudinal, and structural equation models , 2004 .
[36] C Y Wang,et al. Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements , 2000, Biometrics.
[37] Russell D. Wolfinger,et al. Laplace's approximation for nonlinear mixed models. , 1993 .
[38] Grace Y. Yi,et al. A functional generalized method of moments approach for longitudinal studies with missing responses and covariate measurement error , 2012, Biometrika.
[39] Eugene Demidenko,et al. Estimation in longitudinal random effects models with measurement error , 2000 .
[40] Roderick J. A. Little,et al. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .
[41] P. Diggle,et al. Analysis of Longitudinal Data , 2003 .
[42] Russell D. Wolfinger,et al. Two Taylor-series approximation methods for nonlinear mixed models , 1997 .
[43] Richard J. Cook,et al. A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters , 2011 .
[44] M. Wulfsohn,et al. Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS , 1995 .
[45] G. Yi,et al. Estimating functions for evaluating treatment effects in cluster‐randomized longitudinal studies in the presence of drop‐out and non‐compliance , 2010 .
[46] M Davidian,et al. Correcting for measurement error in individual-level covariates in nonlinear mixed effects models. , 2000, Biometrics.
[47] F. Hsieh,et al. Joint modelling of accelerated failure time and longitudinal data , 2005 .
[48] Roderick J. A. Little,et al. Modeling the Drop-Out Mechanism in Repeated-Measures Studies , 1995 .
[49] M. Wulfsohn,et al. A joint model for survival and longitudinal data measured with error. , 1997, Biometrics.
[50] Marie Davidian,et al. A Two-Step Approach to Measurement Error in Time-Dependent Covariates in Nonlinear Mixed-Effects Models, with Application to IGF-I Pharmacokinetics , 1997 .
[51] F. Vandenhende,et al. ON THE JOINT ANALYSIS OF LONGITUDINAL RESPONSES AND EARLY DISCONTINUATION IN RANDOMIZED TRIALS , 2002, Journal of biopharmaceutical statistics.
[52] Xihong Lin,et al. Semiparametric Modeling of Longitudinal Measurements and Time‐to‐Event Data–A Two‐Stage Regression Calibration Approach , 2008, Biometrics.
[53] Bruce G. Lindsay,et al. ISSUES AND STRATEGIES IN THE SELECTION OF COMPOSITE LIKELIHOODS , 2011 .
[54] J. Hardin,et al. Generalized Estimating Equations , 2002 .
[55] Raymond J. Carroll,et al. Conditional scores and optimal scores for generalized linear measurement-error models , 1987 .
[56] J. Robins,et al. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data , 1995 .
[57] Yangxin Huang,et al. A Bayesian mixture of semiparametric mixed‐effects joint models for skewed‐longitudinal and time‐to‐event data , 2015, Statistics in medicine.
[58] Wei Liu,et al. Analysis of Longitudinal and Survival Data: Joint Modeling, Inference Methods, and Issues , 2012 .
[59] M. Kenward,et al. A comparison of multiple imputation and doubly robust estimation for analyses with missing data , 2006 .
[60] G. Yi,et al. A Pairwise Likelihood Method For Correlated Binary Data With/withoutMissing Observations Under Generalized Partially Linear Single-indexModels , 2011 .
[61] Richard J. Cook,et al. Marginal Methods for Incomplete Longitudinal Data Arising in Clusters , 2002 .
[62] Grace Y Yi,et al. Estimation methods for marginal and association parameters for longitudinal binary data with nonignorable missing observations , 2013, Statistics in medicine.
[63] Wei Liu,et al. Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses , 2007, Biometrics.
[64] L. Skovgaard. NONLINEAR MODELS FOR REPEATED MEASUREMENT DATA. , 1996 .
[65] Lang Li,et al. A Population Pharmacokinetic Model with Time‐Dependent Covariates Measured with Errors , 2004, Biometrics.
[66] Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data , 2008, Biometrics.
[67] M. Kenward,et al. Informative Drop‐Out in Longitudinal Data Analysis , 1994 .
[68] G. Molenberghs,et al. Linear Mixed Models for Longitudinal Data , 2001 .
[69] Michelle Shardell,et al. Weighted estimating equations for longitudinal studies with death and non‐monotone missing time‐dependent covariates and outcomes , 2008, Statistics in medicine.
[70] M. Pepe,et al. A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data , 1994 .
[71] Lang Wu,et al. A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies , 2002 .
[72] S. Zeger,et al. Multivariate Regression Analyses for Categorical Data , 1992 .
[73] Liang Li,et al. A Semiparametric Joint Model for Longitudinal and Survival Data with Application to Hemodialysis Study , 2009, Biometrics.
[74] Jane-Ling Wang,et al. Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data , 2008, Biometrics.
[75] Daniel O. Scharfstein,et al. Analysis of longitudinal data with irregular, outcome‐dependent follow‐up , 2004 .
[76] Martin Crowder,et al. On the use of a working correlation matrix in using generalised linear models for repeated measures , 1995 .
[77] Anastasios A. Tsiatis,et al. A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error , 2001 .
[78] Richard J. Cook,et al. Weighted Generalized Estimating Functions for Longitudinal Response and Covariate Data That Are Missing at Random , 2010 .
[79] Dylan S. Small,et al. Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach , 2007 .
[80] Bradley Efron,et al. Missing Data, Imputation, and the Bootstrap , 1994 .
[81] James V. Zidek,et al. Including structural measurement errors in the nonlinear regression analysis of clustered data , 1998 .
[82] Assessing the validity of weighted generalized estimating equations , 2011 .
[83] Wenqing He,et al. Median Regression Models for Longitudinal Data with Dropouts , 2009, Biometrics.
[84] Harry Joe,et al. Composite Likelihood Methods , 2012 .
[85] J. Neuhaus,et al. Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification , 2002, Biometrics.
[86] Raymond J. Carroll,et al. Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models , 1998 .
[87] G. Molenberghs,et al. Models for Discrete Longitudinal Data , 2005 .
[88] T. Louis. Finding the Observed Information Matrix When Using the EM Algorithm , 1982 .
[89] Jiming Jiang. Linear and Generalized Linear Mixed Models and Their Applications , 2007 .
[90] R. Tibshirani,et al. An introduction to the bootstrap , 1993 .