Pages that link to "Item:Q4651045"

The following pages link to Nonparametric and Semiparametric Models for Missing Covariates in Parametric Regression (Q4651045):

Displaying 31 items.

• On the \(L_p\) norms of kernel regression estimators for incomplete data with applications to classification (Q518885) (← links)
• Semi-empirical pseudo-likelihood for estimating equations in the presence of missing responses (Q538104) (← links)
• Model selection of generalized partially linear models with missing covariates (Q643382) (← links)
• Semiparametric maximum likelihood for missing covariates in parametric regression (Q870501) (← links)
• Compatibility of conditionally specified models (Q962026) (← links)
• A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates (Q1615132) (← links)
• Efficiency of NPMLE in nonparametric missing data models. (Q1856525) (← links)
• On histogram-based regression and classification with incomplete data (Q2044763) (← links)
• Semiparametric model for regression analysis with nonmonotone missing data (Q2059105) (← links)
• Data-adaptive efficient estimation strategies for biomarker studies embedded in randomized trials (Q2080742) (← links)
• Unified approach for regression models with nonmonotone missing at random data (Q2245664) (← links)
• Semiparametric estimation in regression with missing covariates using single-index models (Q2330532) (← links)
• Outcome vector dependent sampling with longitudinal continuous response data: stratified sampling based on summary statistics (Q2846448) (← links)
• Missing data in regression models for non-commensurate multiple outcomes (Q2925460) (← links)
• A gradient-based algorithm for semiparametric models with missing covariates (Q3019795) (← links)
• Estimation and Inference Based on Neumann Series Approximation to Locally Efficient Score in Missing Data Problems (Q3077767) (← links)
• Multiple Imputation for Missing Values through Conditional Semiparametric Odds Ratio Models (Q3100780) (← links)
• A general framework for studying genetic effects and gene-environment interactions with missing data (Q3303620) (← links)
• Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates (Q3304867) (← links)
• Incorporating Marginal Covariate Information in a Nonparametric Regression Model for a Sample of <i>R</i>×<i>C</i> Tables (Q3549393) (← links)
• Regression Analysis with Covariates Missing at Random: A Piece-wise Nonparametric Model for Missing Covariates (Q3652788) (← links)
• (Q4856008) (← links)
• Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness (Q4971401) (← links)
• Nonstandard conditionally specified models for nonignorable missing data (Q5073122) (← links)
• Semiparametric approach for non‐monotone missing covariates in a parametric regression model (Q5170197) (← links)
• Estimation of regression parameters in missing data problems (Q5443819) (← links)
• A Semiparametric Odds Ratio Model for Measuring Association (Q5459583) (← links)
• Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting (Q6091917) (← links)
• Maximum likelihood estimation of missing data probability for nonmonotone missing at random data (Q6105804) (← links)
• Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates (Q6162502) (← links)
• A self-censoring model for multivariate nonignorable nonmonotone missing data (Q6589266) (← links)