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Semiparametric dimension reduction estimation for mean response with missing data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Nonparametric and Semiparametric Models

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Semiparametric least squares (SLS) and weighted SLS estimation of single-index models

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Efficient estimation in conditional single-index regression

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A Trial Comparing Nucleoside Monotherapy with Combination Therapy in HIV-Infected Adults with CD4 Cell Counts from 200 to 500 per Cubic Millimeter

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A Generalization of Sampling Without Replacement From a Finite Universe

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Design-adaptive Nonparametric Regression

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Nonparametric Estimation of Mean Functionals with Data Missing at Random

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Estimation of Regression Coefficients When Some Regressors Are Not Always Observed

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Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions

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A Test for Equality of Means in the Presence of Correlation and Missing Values

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Use of Regression Functions for Improved Estimation of Means

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The central role of the propensity score in observational studies for causal effects

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Empirical likelihood-based inference in linear errors-in-covariables models with validation data

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Local multiple imputation

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Semiparametric model-based inference in the presence of missing responses

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A TWO STAGE DESIGN FOR THE STUDY OF THE RELATIONSHIP BETWEEN A RARE EXPOSURE AND A RARE DISEASE1

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A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation

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On Estimating Regression

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Semiparametric Estimation of Treatment Effect in a Pretest–Posttest Study with Missing Data

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Local linear regression for generalized linear models with missing data

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Empirical likelihood-based inference under imputation for missing response data

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Best Possible Constant for Bandwidth Selection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Doubly robust multiple imputation using kernel‐based techniques

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An imputation based empirical likelihood approach to pretest–posttest studies

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Missing data analysis with sufficient dimension reduction

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Semiparametric pseudoscore for regression with multidimensional but incompletely observed regressor

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An efficient model‐free approach to interaction screening for high dimensional data

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Powerful nonparametric checks for parametric single‐index quantile models with missing responses

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Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method

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Updatable Estimation in Generalized Linear Models with Missing Data

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Nonparametric estimation of the conditional mean residual life function with censored data

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Testing conditional independence with data missing at random

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Dimension reduction with missing response at random

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A systematic survey of the methods literature on the reporting quality and optimal methods of handling participants with missing outcome data for continuous outcomes in randomized controlled trials

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Dimension reduction estimation for central mean subspace with missing multivariate response

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Checking nonparametric component for partial linear regression model with missing response

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Dimension reduction estimation for probability density with data missing at random when covariables are present

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Nonparametric estimation of cumulative incidence functions for competing risks data with missing cause of failure

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Hypothesis tests in partial linear errors-in-variables models with missing response

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Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial

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Nonparametric independence feature screening for ultrahigh-dimensional missing data

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Mean response estimation with missing response in the presence of high-dimensional covariates

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Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data

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Mann–Whitney Test with Adjustments to Pretreatment Variables for Missing Values and Observational Study

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An Extended Single Index Model with Missing Response at Random

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Efficient Robust Estimation for Linear Models with Missing Response at Random

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Nonlinear interaction detection through partial dimension reduction with missing response data

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An adaptive-to-model test for parametric single-index models with missing responses

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Efficient estimators for expectations in nonlinear parametric regression models with responses missing at random

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Identification and Empirical Likelihood Inference in Nonlinear Regression Model with Nonignorable Nonresponse

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Doubly robust nonparametric multiple imputation for ignorable missing data

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Semiparametric Estimating Equations Inference with Nonignorable Nonresponse

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Sufficient Dimension Reduction under Dimension-reduction-based Imputation with Predictors Missing at Random

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