Quantile regression analysis of case-cohort data
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Publication:391857
DOI10.1016/j.jmva.2013.07.004zbMath1279.62100OpenAlexW2082984066MaRDI QIDQ391857
Ziqiang Zhao, Wen Yu, Ming Zheng
Publication date: 13 January 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2013.07.004
weak convergenceestimating equationscounting processessimple random samplingcase-cohort designuniform consistencyrandom weighting
Nonparametric regression and quantile regression (62G08) Central limit and other weak theorems (60F05) Nonparametric statistical resampling methods (62G09)
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Quantile regression for competing risks analysis under case-cohort design, Generalized accelerated failure time model with censored data from case-cohort studies
Cites Work
- Unnamed Item
- Least absolute deviations estimation for the censored regression model
- Censored regression quantiles
- Asymptotic distribution theory and efficiency results for case-cohort studies
- Monotone estimating equations for censored data
- Weak convergence and empirical processes. With applications to statistics
- Case-cohort analysis with semiparametric transformation models
- A survey of product-integration with a view toward application in survival analysis
- Generalized Case–cohort Sampling
- A simple resampling method by perturbing the minimand
- Case–Cohort Analysis with Accelerated Failure Time Model
- Survival Analysis With Quantile Regression Models
- A case-cohort design for epidemiologic cohort studies and disease prevention trials
- Regression Quantiles
- Cox Regression with Incomplete Covariate Measurements
- Weighted Semiparametric Likelihood Method for Fitting a Proportional Odds Regression Model to Data From the Case-Cohort Design
- Censored Regression Quantiles
- Survival Analysis with Median Regression Models
- Case-cohort and case-control analysis with Cox's model
- Additive hazards regression for case-cohort studies
- Semiparametric transformation models for the case-cohort study
- Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies
