Semiparametric likelihood-based inference for censored data with auxiliary information from external massive data sources
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Publication:2023737
DOI10.1007/S10255-020-0948-XzbMath1465.62056OpenAlexW3081888012MaRDI QIDQ2023737
Publication date: 3 May 2021
Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10255-020-0948-x
Cites Work
- Full likelihood inferences in the Cox model: an empirical likelihood approach
- Empirical likelihood ratio confidence regions
- Empirical likelihood for linear models
- Empirical likelihood in biased sample problems
- Empirical likelihood and general estimating equations
- Empirical likelihood ratio based confidence intervals for mixture proportions
- Generalized Linear Models Incorporating Population Level Information: An Empirical-Likelihood-Based Approach
- Empirical likelihood ratio confidence intervals for a single functional
- Estimation of Reliability in Field-Performance Studies
- Confidence Interval Estimation of Survival Probabilities for Censored Data
- Semiparametric Likelihood-Based Inference for Biased and Truncated Data When the Total Sample Size is Known
- Combining Micro and Macro Data in Microeconometric Models
- Semiparametric Likelihood Ratio-Based Inferences for Truncated Data
- Empirical likelihood estimation for finite populations and the effective usage of auxiliary information
- Estimating equations, empirical likelihood and constraints on parameters
- Nonparametric Likelihood Ratio Estimation of Probabilities for Truncated Data
- Using covariate-specific disease prevalence information to increase the power of case-control studies
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