Weighted likelihood estimation under two-phase sampling

DOI10.1214/12-AOS1073zbMath1347.62033arXiv1112.4951WikidataQ41783253 ScholiaQ41783253MaRDI QIDQ1952451

Jon A. Wellner, Takumi Saegusa

Publication date: 30 May 2013

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

Full work available at URL: https://arxiv.org/abs/1112.4951

zbMATH Keywords

semiparametric modelcalibrationweighted likelihood estimatorsestimated weightsnonregular ratesregular rates

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Sampling theory, sample surveys (62D05)

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Uses Software

• Survey

Cites Work

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• Asymptotic distribution theory and efficiency results for case-cohort studies
• Observed information in semi-parametric models
• Exchangeably weighted bootstraps of the general empirical process
• Semiparametric likelihood ratio inference
• Efficient estimation for the proportional hazards model with interval censoring
• Weak convergence and empirical processes. With applications to statistics
• Uniform improvement of empirical likelihood for missing response problem
• Weighted likelihood estimation under two-phase sampling
• Robust semiparametric M-estimation and the weighted bootstrap
• Relative risk regression for current status data in case-cohort studies
• Efficient restricted estimators for conditional mean models with missing data
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Calibration Estimators in Survey Sampling
• Asymptotic Statistics
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Efficient estimation for case-cohort studies
• On fitting Cox's proportional hazards models to survey data
• Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data
• Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression
• Contribution to the Theory of Sampling Human Populations
• A Generalization of Sampling Without Replacement From a Finite Universe
• Application of convolution theorems in semiparametric models with non-i. i. d. data