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June 1, 2024Scientia Sinica MathematicaOpen Access

Quantile regression and smoothed empirical likelihood for non-ignorable missing data based on semi-parametric response models

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Authors

JGJingxuan GuoJPJianxin PanKYKeming Yu

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Guo et al. (2024) studied this question.

synapsesocial.com/papers/68e67058b6db6435875fabe1https://doi.org/10.1360/scm-2023-0633
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Empirical Likelihood for Composite Quantile Regression Models with Missing Response Data2024
  2. 2Two-Stage Estimation of Partially Linear Varying Coefficient Quantile Regression Model with Missing Data2024 · 1 citations
  3. 3A New Nonparametric Empirical Likelihood Estimator for Quantile Regression under Right Censoring2026
  4. 4Bayesian Estimation of Marginal Quantiles with Missing Data in a Multivariate Regression Framework2026
  5. 5Bayesian Analysis of Nonlinear Quantile Structural Equation Model with Possible Non-Ignorable Missingness2025