A conditional model for incomplete covariates in parametric regression models
From MaRDI portal
Publication:4364961
DOI10.1093/biomet/83.4.916zbMath0885.62026OpenAlexW2041371088MaRDI QIDQ4364961
Joseph G. Ibrahim, Stuart R. Lipsitz
Publication date: 29 April 1998
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/83.4.916
Related Items
Joint regression modeling for missing categorical covariates in generalized linear models, Semiparametric Inference of Causal Effect with Nonignorable Missing Confounders, Robust estimation of the generalised partial linear model with missing covariates, Bayesian variable selection for the Cox regression model with missing covariates, Bayesian analysis of non-linear structural equation models with non-ignorable missing outcomes from reproductive dispersion models, Multiple imputation for gamma outcome variable using generalized linear model, Alternative expectation approaches for expectation-maximization missing data imputations in cox regression, An index of local sensitivity to non-ignorability for parametric survival models with potential non-random missing covariate: an application to the SEER cancer registry data, Prediction and Inference With Missing Data in Patient Alert Systems, Unified approach for regression models with nonmonotone missing at random data, On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification, Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey, Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates, Cure rate survival models with missing covariates: a simulation study, On modeling repeated binary responses and time-dependent missing covariates, Monte Carlo EM for Missing Covariates in Parametric Regression Models, Fitting the log‐F Accelerated Failure Time Model with Incomplete Covariate Data, Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates, Statistical estimation in partial linear models with covariate data missing at random, Multiple imputation: a review of practical and theoretical findings, Instrument search in pseudo-likelihood approach for nonignorable nonresponse, On histogram-based regression and classification with incomplete data, Diagnostic Measures for Generalized Linear Models with Missing Covariates, Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information, Maximum Likelihood Methods for Cure Rate Models with Missing Covariates, Frailty Models with Missing Covariates, Subsample ignorable likelihood for accelerated failure time models with missing predictors, Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness, Bayesian Structural Equations Modeling for Ordinal Response Data with Missing Responses and Missing Covariates, Maximum likelihood estimation for linear regression models with right censored outcomes and missing predictors., Local Influence for Generalized Linear Models with Missing Covariates, Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data, An EM algorithm for regression analysis with incomplete covariate information, Bayesian methods for generalized linear models with covariates missing at random
