Statistical estimation in the proportional hazards model with risk set sampling

DOI10.1214/009053604000000517zbMath1047.62089arXivmath/0410086OpenAlexW3101082140MaRDI QIDQ1879963

Kani Chen

Publication date: 15 September 2004

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math/0410086

zbMATH Keywords

asymptotic relative efficiencyempirical approximationextended nested case-control datatime-restricted nested case-control data

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05) Estimation in survival analysis and censored data (62N02)

Related Items (7)

Testing goodness‐of‐fit for the proportional hazards model based on nested case–control data ⋮ Efficiency of the maximum partial likelihood estimator for nested case control sampling ⋮ Estimation and variable selection for semiparametric transformation models under a more efficient cohort sampling design ⋮ Cox Regression in Nested Case-Control Studies with Auxiliary Covariates ⋮ On estimation of linear transformation models with nested case-control sampling ⋮ Robust inference for the proportional hazards model with two-phase cohort sampling data ⋮ Empirical evaluation of sub-cohort sampling designs for risk prediction modeling

Cites Work

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• Generalized Case–cohort Sampling
• Statistics in Epidemiology: The Case-Control Study
• Survival Times: Aspects of Partial Likelihood
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A pseudolikelihood approach to analysis of nested case-control studies
• Maximum Weighted Partial Likelihood Estimators for the Cox Model
• Case-cohort and case-control analysis with Cox's model
• The Efficiency of Simple and Counter‐matched Nested Case‐control Sampling

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