A mean score method for missing and auxiliary covariate data in regression models
From MaRDI portal
Publication:4842925
DOI10.1093/biomet/82.2.299zbMath0828.62097OpenAlexW2170407956MaRDI QIDQ4842925
Marie Reilly, Margaret Sullivan Pepe
Publication date: 2 January 1996
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/82.2.299
surrogate dataEM algorithmasymptotic variancemissing data problemsemiparametricoptimal sampling strategiesdouble samplingvalidation sampletwo-stage samplingerrors in variables problemauxiliary covariate datahot-dec
Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) General nonlinear regression (62J02)
Related Items
A note on kernel assisted estimators in missing covariate regression ⋮ Exact Distribution of the Regression Esti Mator in Double Sampling ⋮ Prediction model-based kernel density estimation when group membership is subject to missing ⋮ Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates ⋮ Semiparametric estimation of a zero-inflated Poisson regression model with missing covariates ⋮ Evaluating risk-prediction models using data from electronic health records ⋮ Nonparametric Modeling Auxiliary Covariates in Random Coefficient Models ⋮ Fitting regression models with response-biased samples ⋮ A General Statistical Framework for Multistage Designs ⋮ Iterative Likelihood: A Unified Inference Tool ⋮ Using link-preserving imputation for logistic partially linear models with missing covariates ⋮ Logistic regression analysis of randomized response data with missing covariates ⋮ Semiparametric maximum likelihood for missing covariates in parametric regression ⋮ Likelihood-based kernel estimation in semiparametric errors-in-covariables models with validation data ⋮ Efficient estimation of regression parameters from multistage studies with validation of outcome and covariates ⋮ Probability density estimation with surrogate data and validation sample ⋮ An estimated score method for missing and auxiliary covariates in two stage studies. ⋮ Semiparametric estimation of logistic regression model with missing covariates and outcome ⋮ Estimation of parameters of logistic regression with covariates missing separately or simultaneously ⋮ Improving estimation efficiency for two-phase, outcome-dependent sampling studies ⋮ Statistical inference in marginalized zero-inflated Poisson regression models with missing data in covariates ⋮ A nonparametric approach to weighted estimating equations for regression analysis with missing covariates ⋮ Optimal design for epidemiological studies subject to designed missingness ⋮ A semiparametric pseudo-score method for analysis of two-phase studies with continuous phase-I covariates ⋮ Bayesian semiparametric analysis for two-phase studies of gene-environment interaction ⋮ Semiparametric inference for estimating equations with nonignorably missing covariates ⋮ Design and relative efficiency in two-phase studies ⋮ Empirical likelihood confidence region for parameters in linear errors-in-variables models with missing data ⋮ Estimation in autoregressive models with surrogate data and validation data ⋮ Pseudolikelihood estimation in a class of problems with response‐related missing covariates ⋮ The large sample properties of the solutions of general estimating equations ⋮ True endpoint reduction by surrogate endpoints ⋮ Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random ⋮ Analysis of inaccurate data with mixture measurement error models ⋮ Response‐dependent two‐phase sampling designs for biomarker studies ⋮ Semiparametric analysis of randomized response data with missing covariates in logistic regression ⋮ The AU algorithm for estimating equations in the presence of missing data ⋮ Efficient ascertainment schemes for maximum likelihood estimation ⋮ Semiparametric approach for non‐monotone missing covariates in a parametric regression model ⋮ Semi-empirical pseudo-likelihood for estimating equations in the presence of missing responses ⋮ Epidemiologically based environmental risk assessment ⋮ On maximum likelihood estimation in parametric regression with missing covariates ⋮ Measurement error correction using validation data: a review of methods and their applicability in case-control studies ⋮ Multiple imputation: current perspectives ⋮ Design of Validation Studies for Estimating the Odds Ratio of Exposure–Disease Relationships When Exposure Is Misclassified ⋮ Maximum likelihood for generalized case-control studies ⋮ Bivariate Binary Data Analysis with Nonignorably Missing Outcomes ⋮ Estimating functions for evaluating treatment effects in cluster‐randomized longitudinal studies in the presence of drop‐out and non‐compliance ⋮ Nonparametric regression function estimation with surrogate data and validation sampling ⋮ Estimation of regression parameters in missing data problems ⋮ Nonparametric conditional mean imputation ⋮ Marginal regression models with a time to event outcome and discrete multiple source predictors ⋮ Logistic regression with outcome and covariates missing separately or simultaneously ⋮ Comparison of multiple imputation and two-phase logistic regression to analyse two-phase case–control studies with rich phase 1: a simulation study ⋮ Semiparametric Estimation Exploiting Covariate Independence in Two‐Phase Randomized Trials ⋮ Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information ⋮ Doubly robust kernel density estimation when group membership is missing at random ⋮ Handling missing data by deleting completely observed records ⋮ Semiparametric Methods in the Proportional Odds Model for Ordinal Response Data with Missing Covariates ⋮ Statistical estimation in varying coefficient models with surrogate data and validation sampling ⋮ Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods ⋮ Bayesian Inference for Two‐Phase Studies with Categorical Covariates ⋮ Semiparametric estimation in regression with missing covariates using single-index models ⋮ Applied regression analysis bibliography update 1994-97 ⋮ Methods for missing covariates in logistic regression ⋮ Linear increment in efficiency with the inclusion of surrogate endpoint ⋮ Estimation and inference for varying-coefficient regression models with error-prone covariates ⋮ A functional method for the conditional logistic regression with errors-in-covariates