Measurement Error in Nonlinear Models
From MaRDI portal
Publication:5478207
DOI10.1201/9781420010138zbMath1119.62063OpenAlexW4302338619MaRDI QIDQ5478207
David Ruppert, Leonard A. Stefanski, Raymond J. Carroll, Ciprian M. Crainiceanu
Publication date: 11 July 2006
Full work available at URL: https://doi.org/10.1201/9781420010138
semiparametric regressionsurvival datanonparametric estimationBayesian methodsMarkov chain Monte Carlo techniquesnonlinear regression modelsmeasurement error modelingresponse variable errorcovariance measurement errorquasi-likelihood and variance functions
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
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linear models with measurement errors, Extrapolation estimation for nonparametric regression with measurement error, Unnamed Item, Analysis of noisy survival data with graphical proportional hazards measurement error models, Unnamed Item, Rejoinder, Adaptive quantile estimation in deconvolution with unknown error distribution, Inference using noisy degrees: differentially private \(\beta\)-model and synthetic graphs, Identification and estimation of nonlinear models using two samples with nonclassical measurement errors, Compound Regression and Constrained Regression: Nonparametric Regression Frameworks for EIV Models, Statistical inference in EV linear model, Hidden Dangers of Specifying Noninformative Priors, Quantile regression estimation for distortion measurement error data, A Bayesian approach for misclassified ordinal response data, A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia, Varying-coefficient single-index measurement error model, Quantile regression modeling of latent trajectory features with longitudinal data, Application of measurement error models to correct for systematic differences among readers and vendors in echocardiography measurements: the CARDIA study, Dual Model Misspecification in Generalized Linear Models with Error in Variables, The Efficiency of Next-Generation Gibbs-Type Samplers: An Illustration Using a Hierarchical Model in Cosmology, Hypothesis testing in functional linear models, Poisson Regression With Error Corrupted High Dimensional Features, Bayesian Semiparametric Covariate Informed Multivariate Density Deconvolution, Copula-based measurement error models, Density Deconvolution With Additive Measurement Errors Using Quadratic Programming, Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates, Estimation on semi-functional linear errors-in-variables models, Improved likelihood ratio tests in a measurement error model for multivariate replicated data, Parameter estimation approaches to tackling measurement error and multicollinearity in ordinal probit models, Impact of additive covariate error on linear model, A novel method for joint modeling of survival data and count data for both simple randomized and cluster randomized data, Multicollinearity in measurement error models, Variable selection for longitudinal varying coefficient errors-in-variables models, In defense of LASSO, Simplex regression models with measurement error, Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information, Testing symmetry for additive distortion measurement errors data, Nonlinear regression models with profile nonlinear least squares estimation, Correlation coefficient-based measure for checking symmetry or asymmetry of a continuous variable with additive distortion, Inference for high dimensional linear models with error-in-variables, On correcting measurement error in the persistence rate estimator, Robust replicated heteroscedastic measurement error model using heavy-tailed distribution, Estimation and inference for varying coefficient partially nonlinear errors-in-variables models, Regression analysis of interval-censored failure time data with cured subgroup and mismeasured covariates, Modeling the effects of multiple exposures with unknown group memberships: a Bayesian latent variable approach, A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data, Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm, Estimation of the mean residual life function in the presence of measurement errors, Impact of case-mix measurement error on estimation and inference in profiling of health care providers, Generalized fiducial inference in the multiple regression model with measurement errors, Maximum Lq-likelihood Estimation in Functional Measurement Error Models, Two-component generalized bent-cable models, Measurement errors models with exponential parametric multiplicative distortions, INFERENCE ON TWO-COMPONENT MIXTURES UNDER TAIL RESTRICTIONS, Semi-parametric estimation of incubation and generation times by means of Laguerre polynomials, Computing the effect of measurement errors on the use of auxiliary information under systematic sampling, Correlation analysis with additive distortion measurement errors, Bayesian inference in a heteroscedastic replicated measurement error model using heavy-tailed distributions, Model selection in high-dimensional noisy data: a simulation study, R package for analysis of data with mixed measurement error and misclassification in covariates: augSIMEX, An alternative local polynomial estimator for the error-in-variables problem, GMM in linear regression for longitudinal data with multiple covariates measured with error, Bivariate deconvolution with SIMEX: an application to mapping Alaska earthquake density, Two-step and likelihood methods for HIV viral dynamic models with covariate measurement errors and missing data, Errors-in-variables beta regression models, Two steps generalized maximum entropy estimation procedure for fitting linear regression when both covariates are subject to error, A multiple imputation approach to nonlinear mixed-effects models with covariate measurement errors and missing values, Semiparametric models of longitudinal and time-to-event data with applications to HIV viral dynamics and CD4 counts, Unnamed Item, Methods to assess measurement error in questionnaires of sedentary behavior, Joint analysis of nonlinear heterogeneous longitudinal data and binary outcome: an application to AIDS clinical studies, Generalized linear models with covariate measurement error and unknown link function, A new confidence interval in errors-in-variables model with known error variance, Robust modelling of the relationship between CD4 and viral load for complex AIDS data, Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models, Sequential regression measurement error models with application, Repeated responses in misclassification binary regression: A Bayesian approach, Optimality of quasi-score in the multivariate mean–variance model with an application to the zero-inflated Poisson model with measurement errors, Statistical inference for heteroscedastic semi-varying coefficient EV models, Wavelet estimation in time-varying coefficient time series models with measurement errors, A Semiparametric Approach for Accelerated Failure Time Models with Covariates Subject to Measurement Error, Correlation curve estimation for multiplicative distortion measurement errors data, Variable selection for spatial latent predictors under Bayesian spatial model, Shared Uncertainty in Measurement Error Problems, with Application to Nevada Test Site Fallout Data, Expected Estimating Equations for Missing Data, Measurement Error, and Misclassification, with Application to Longitudinal Nonignorable Missing Data, Binary Regression in Truncated Samples, with Application to Comparing Dietary Instruments in a Large Prospective Study, Variable selection for semiparametric errors-in-variables regression model with longitudinal data, Approximate estimations in capture–recapture model with heteroscedastic measurement errors, Quantile regression in longitudinal studies with dropouts and measurement errors, Reducing errors-in-variables bias in linear regression using compact genetic algorithms, Quantile regression-based Bayesian semiparametric mixed-effects models for longitudinal data with non-normal, missing and mismeasured covariate, Asymptotic Distribution of the Bias Corrected Least Squares Estimators in Measurement Error Linear Regression Models Under Long Memory, Partially Linear Functional Additive Models for Multivariate Functional Data, Robust Bayesian Inference via Coarsening, Unnamed Item, Optimal Allocation of Gold Standard Testing Under Constrained Availability: Application to Assessment of HIV Treatment Failure, Unnamed Item, Modeling Data with Excess Zeros and Measurement Error: Application to Evaluating Relationships between Episodically Consumed Foods and Health Outcomes, Stochastic Approximation Boosting for Incomplete Data Problems, Kernel density estimation with Berkson error, Unnamed Item, Unnamed Item, Bayesian Kernel Regression for Noisy Inputs Based on Nadaraya–Watson Estimator Constructed from Noiseless Training Data, Penalised empirical likelihood for semiparametric varying-coefficient partially linear errors-in-variables models, AVERAGE DERIVATIVE ESTIMATION UNDER MEASUREMENT ERROR, An Estimate of a Change Point in Variance of Measurement Errors and Its Convergence Rate, Statistical Inference on Partially Linear Additive Models with Missing Response Variables and Error-prone Covariates, Control variables approach to estimate semiparametric models of mismeasured endogenous regressors with an application to U.K. twin data, Moment conditions for the quadratic regression model with measurement error, Mixtures of Linear Regression with Measurement Errors, Univariate measurement error selection likelihood for variable selection of additive model, New estimation for heteroscedastic single-index measurement error models
Uses Software
