Regression analysis for a summed missing data problem under an outcome-dependent sampling scheme
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Publication:2856542
DOI10.1002/cjs.11131zbMath1348.62024OpenAlexW2152675118MaRDI QIDQ2856542
Haibo Zhou, Steven R. Kleeberger, Jie-Li Ding, David B. Peden, Yan Yan Liu
Publication date: 29 October 2013
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.11131
Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Sampling theory, sample surveys (62D05)
Related Items (3)
Recent progresses in outcome-dependent sampling with failure time data ⋮ Hypothesis testing in outcome-dependent sampling design under generalized linear models ⋮ Statistical inference methods and applications of outcome-dependent sampling designs under generalized linear models
Cites Work
- A Semiparametric Empirical Likelihood Method for Data from an Outcome-Dependent Sampling Scheme with a Continuous Outcome
- A Partial Linear Model in the Outcome-Dependent Sampling Setting to Evaluate the Effect of Prenatal PCB Exposure on Cognitive Function in Children
- Empirical likelihood ratio confidence regions
- Statistical Inference for a Two-Stage Outcome-Dependent Sampling Design with a Continuous Outcome
- Partial linear inference for a 2-stage outcome-dependent sampling design with a continuous outcome
- Semiparametric inference for a 2-stage outcome-auxiliary-dependent sampling design with continuous outcome
- Longitudinal Studies of Binary Response Data Following Case-Control and Stratified Case-Control Sampling: Design and Analysis
- Design and Inference for Cancer Biomarker Study with an Outcome and Auxiliary-Dependent Subsampling
- A note on semiparametric efficient inference for two-stage outcome-dependent sampling with a continuous outcome
- Empirical likelihood ratio confidence intervals for a single functional
- On the Unique Consistent Solution to the Likelihood Equations
- A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
- Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies
- A Semiparametric Empirical Likelihood Method for Biased Sampling Schemes with Auxiliary Covariates
- Asymptotic Properties of Non-Linear Least Squares Estimators
- An Estimated Likelihood Method for Continuous Outcome Regression Models With Outcome-Dependent Sampling
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