Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting

DOI10.1080/10485252.2023.2215341OpenAlexW4378363572MaRDI QIDQ6091917

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Publication date: 21 November 2023

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://figshare.com/articles/journal_contribution/Nonparametric_regression_with_nonignorable_missing_covariates_and_outcomes_using_bounded_inverse_weighting/23230532

zbMATH Keywords

nonparametric smoothinginverse probability weightingmissing not at randomnonmonotone missingnessbounded weighting

Mathematics Subject Classification ID

Nonparametric inference (62Gxx)

Cites Work

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• Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data
• Comment: Performance of double-robust estimators when ``inverse probability weights are highly variable
• Nonparametric regression with responses missing at random
• Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
• Local linear regression for generalized linear models with missing data.
• A nonparametric inverse probability weighted estimation for functional data with missing response data at random
• Bounded, efficient and doubly robust estimation with inverse weighting
• Estimating Equations Inference With Missing Data
• An Effective Bandwidth Selector for Local Least Squares Regression
• Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
• Efficient estimation of conditional variance functions in stochastic regression
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Local Polynomial Variance-Function Estimation
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• Discrete Choice Models for Nonmonotone Nonignorable Missing Data: Identification and Inference
• On Inverse Probability Weighting for Nonmonotone Missing at Random Data
• Pattern-Mixture Models for Multivariate Incomplete Data
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
• Multiply robust estimation in nonparametric regression with missing data
• Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations
• A Design-Adaptive Local Polynomial Estimator for the Errors-in-Variables Problem
• Nonparametric Regression With Predictors Missing at Random
• Bias-Reduced Doubly Robust Estimation
• Itemwise conditionally independent nonresponse modelling for incomplete multivariate data
• Bayesian nonparametric analysis of longitudinal studies in the presence of informative missingness
• Estimation in Partially Linear Models With Missing Covariates
• Semiparametric Inference for Nonmonotone Missing-Not-at-Random Data: The No Self-Censoring Model
• Analysis of local sensitivity to nonignorability with missing outcomes and predictors
• Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders

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