Bayesian and influence function‐based empirical likelihoods for inference of sensitivity to the early diseased stage in diagnostic tests
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Publication:6141312
DOI10.1002/bimj.202200021zbMath1528.62068OpenAlexW4316363029MaRDI QIDQ6141312
Gengsheng Qin, Unnamed Author, Unnamed Author
Publication date: 4 January 2024
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.202200021
influence functionconfidence intervalBayesian inferenceempirical likelihoodsensitivity of the early stage
Cites Work
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- A note on the asymptotic behaviour of empirical likelihood statistics
- Nonparametric and semiparametric estimation of the three way receiver operating characteristic surface
- Empirical likelihood ratio confidence regions
- Smoothed jackknife empirical likelihood method for ROC curve
- The formal definition of reference priors
- Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
- Empirical likelihood methods based on influence functions
- Multiple-event forced-choice tasks in the theory of signal detectability
- Methodology and Algorithms of Empirical Likelihood
- Frontiers of Statistical Decision Making and Bayesian Analysis
- Bayesian empirical likelihood
- Bayesian Pseudo-Empirical-Likelihood Intervals for Complex Surveys
- A New Proof of the Bahadur Representation of Quantiles and an Application
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