Semiparametric empirical likelihood inference with estimating equations under density ratio models

DOI10.1214/22-EJS2069MaRDI QIDQ2084477

Changbao Wu, Meng Yuan, Peng-Fei Li

Publication date: 18 October 2022

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

Full work available at URL: https://arxiv.org/abs/2102.13232

zbMATH Keywords

estimating equationsempirical likelihoodauxiliary informationdensity ratio model

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

• Unnamed Item
• Unnamed Item
• Quantile and quantile-function estimations under density ratio model
• Empirical likelihood and general estimating equations
• Inferences on the means of lognormal distributions using generalized \(p\)-values and generalized confidence intervals.
• Empirical likelihood ratio based confidence intervals for mixture proportions
• Quantile estimation under a two-sample semi-parametric model
• Testing homogeneity for multiple nonnegative distributions with excess zero observations
• Biased sampling, over-identified parameter problems and beyond
• Semiparametric inference on the means of multiple nonnegative distributions with excess zero observations
• Empirical likelihood ratio test on quantiles under a density ratio model
• Semiparametric inference on general functionals of two semicontinuous populations
• Sampling theory and practice
• On empirical likelihood for semiparametric two-sample density ratio models
• Using logistic regression procedures for estimating receiver operating characteristic curves
• Hypothesis testing in the presence of multiple samples under density ratio models
• Likelihood Analysis for the Ratio of Means of Two Independent Log-Normal Distributions
• A New Nuisance-Parameter Elimination Method With Application to the Unordered Homologous Chromosome Pairs Problem
• Non‐parametric Estimation of a Survival Function with Two‐stage Design Studies
• Transformations of the explanatory variables in the logistic regression model for binary data
• Empirical likelihood ratio confidence intervals for a single functional
• Multivariate logistic compounds
• Combining Micro and Macro Data in Microeconometric Models
• Methods for Comparing the Means of Two Independent Log-Normal Samples
• A goodness-of-fit test for logistic regression models based on case-control data
• A Semiparametric Approach to the One-Way Layout
• On empirical likelihood for a semiparametric mixture model
• Estimating equations, empirical likelihood and constraints on parameters
• Spectral Density Ratio Models for Multivariate Extremes
• Composite empirical likelihood for multisample clustered data
• Data Integration with Oracle Use of External Information from Heterogeneous Populations
• Semiparametric inference of the Youden index and the optimal cut‐off point under density ratio models
• Generalized integration model for improved statistical inference by leveraging external summary data
• Using covariate-specific disease prevalence information to increase the power of case-control studies
• Comparison of empirical likelihood and its dual likelihood under density ratio model
• Empirical likelihood inference for a common mean in the presence of heteroscedasticity
• Semiparametric inference for the dominance index under the density ratio model
• Combining primary cohort data with external aggregate information without assuming comparability

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