Pages that link to "Item:Q4364961"

The following pages link to A conditional model for incomplete covariates in parametric regression models (Q4364961):

Displaying 45 items.

• On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification (Q518885) (← links)
• Statistical estimation in partial linear models with covariate data missing at random (Q734424) (← links)
• Subsample ignorable likelihood for accelerated failure time models with missing predictors (Q747381) (← links)
• Bayesian variable selection for the Cox regression model with missing covariates (Q841039) (← links)
• Bayesian analysis of non-linear structural equation models with non-ignorable missing outcomes from reproductive dispersion models (Q842921) (← links)
• Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates (Q990891) (← links)
• On improved EM algorithm and confidence interval construction for incomplete \(r\times c\) tables (Q1019922) (← links)
• Maximum likelihood estimation for linear regression models with right censored outcomes and missing predictors. (Q1285510) (← links)
• Incomplete covariates data in generalized linear models (Q1297582) (← links)
• Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
• Instrument search in pseudo-likelihood approach for nonignorable nonresponse (Q2042524) (← links)
• On histogram-based regression and classification with incomplete data (Q2044763) (← links)
• Unified approach for regression models with nonmonotone missing at random data (Q2245664) (← links)
• On modeling repeated binary responses and time-dependent missing covariates (Q2259926) (← links)
• Robust estimation of the generalised partial linear model with missing covariates (Q2892941) (← links)
• Diagnostic Measures for Generalized Linear Models with Missing Covariates (Q3077766) (← links)
• Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information (Q3078677) (← links)
• Maximum Likelihood Methods for Cure Rate Models with Missing Covariates (Q3078678) (← links)
• Frailty Models with Missing Covariates (Q3078909) (← links)
• Bayesian methods for generalized linear models with covariates missing at random (Q3148212) (← links)
• Prediction and Inference With Missing Data in Patient Alert Systems (Q3304829) (← links)
• An EM algorithm for regression analysis with incomplete covariate information (Q3432739) (← links)
• Bayesian Structural Equations Modeling for Ordinal Response Data with Missing Responses and Missing Covariates (Q3645004) (← links)
• Monte Carlo EM for Missing Covariates in Parametric Regression Models (Q4666613) (← links)
• Fitting the log‐<i>F</i> Accelerated Failure Time Model with Incomplete Covariate Data (Q4666654) (← links)
• Imputation in High-Dimensional Economic Data as Applied to the Agricultural Resource Management Survey (Q4916929) (← links)
• Cure rate survival models with missing covariates: a simulation study (Q4922613) (← links)
• Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness (Q4971401) (← links)
• Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data (Q5006012) (← links)
• Joint regression modeling for missing categorical covariates in generalized linear models (Q5036347) (← links)
• Semiparametric Inference of Causal Effect with Nonignorable Missing Confounders (Q5037781) (← links)
• Multiple imputation for gamma outcome variable using generalized linear model (Q5106904) (← links)
• 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 (Q5127102) (← links)
• Performance of the marginal structural models under various scenarios of incomplete marker's values: A simulation study (Q5247909) (← links)
• Itemwise conditionally independent nonresponse modelling for incomplete multivariate data (Q5384454) (← links)
• Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates (Q5418872) (← links)
• Local Influence for Generalized Linear Models with Missing Covariates (Q5850965) (← links)
• Alternative expectation approaches for expectation-maximization missing data imputations in cox regression (Q6204958) (← links)
• Bayesian hierarchical spatial regression models for spatial data in the presence of missing covariates with applications (Q6579534) (← links)
• Weighting estimation in the cause-specific Cox regression with partially missing causes of failure (Q6615904) (← links)
• Regression Analysis with Individual-Specific Patterns of Missing Covariates (Q6617744) (← links)
• Statistical inference for missing data mechanisms (Q6629899) (← links)
• The orthogonally partitioned EM algorithm: extending the EM algorithm for algorithmic stability and bias correction due to imperfect data (Q6632723) (← links)
• Empirical likelihood in nonignorable covariate-missing data problems (Q6636138) (← links)
• Regression with variable dimension covariates (Q6648797) (← links)