Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling
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Publication:5880136
DOI10.1080/24754269.2021.1946373OpenAlexW3178986042MaRDI QIDQ5880136
Yukun Liu, Zhen Sheng, Jing Qin
Publication date: 7 March 2023
Published in: Statistical Theory and Related Fields (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/24754269.2021.1946373
Cites Work
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- Quantile and quantile-function estimations under density ratio model
- Adjusted empirical likelihood with high-order precision
- Bootstrap methods: another look at the jackknife
- Weighted likelihood estimation under two-phase sampling
- Sampling theory and practice
- Empirical likelihood is Bartlett-correctable
- Hypothesis testing in the presence of multiple samples under density ratio models
- Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome
- Logistic analysis in case-control studies under validation sampling
- A proportional likelihood ratio model
- Logistic regression for two-stage case-control data
- Empirical likelihood ratio confidence intervals for a single functional
- Logistic disease incidence models and case-control studies
- Some results on the estimation of logistic models based on retrospective data
- Multivariate logistic compounds
- Inferences for case-control and semiparametric two-sample density ratio models
- Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
- Fitting regression models to case-control data by maximum likelihood
- A goodness-of-fit test for logistic regression models based on case-control data
- Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
- Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys
- Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
- Using covariate-specific disease prevalence information to increase the power of case-control studies
- Separate sample logistic discrimination
- Density estimation under a two-sample semiparametric model
- Some Theoretical and Practical Aspects of Empirical Likelihood Methods for Complex Surveys