Statistical inference for the accelerated failure time model under two-stage generalized case–cohort design

DOI10.1080/03610926.2018.1528363OpenAlexW2907955946WikidataQ128653739 ScholiaQ128653739MaRDI QIDQ5077966

Yue-Yong Shi, Yong-Xiu Cao, Ji-Chang Yu

Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1528363

zbMATH Keywords

kernel methodaccelerated failure time modeltwo-stage samplinggeneralized case-cohortestimated augmented estimating equation

Mathematics Subject Classification ID

Censored data models (62N01) Linear inference, regression (62J99) Sampling theory, sample surveys (62D05) Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Outcome-dependent sampling design and inference for Cox's proportional hazards model
• Optimal generalized case-cohort analysis with accelerated failure time model
• Cox's regression model for counting processes: A large sample study
• Multivariate failure times regression with a continuous auxiliary covariate
• Asymptotic distribution theory and efficiency results for case-cohort studies
• Continuous auxiliary covariate in additive hazards regression for survival data
• Analysis of two-phase sampling data with semiparametric additive hazards models
• A large sample study of rank estimation for censored regression data
• Introduction to empirical processes and semiparametric inference
• Generalized Case–cohort Sampling
• Censored linear regression for case-cohort studies
• Statistical inference for the additive hazards model under outcome-dependent sampling
• Partially Linear Additive Hazards Regression With Varying Coefficients
• Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design
• Induced smoothing for the semiparametric accelerated failure time model: asymptotics and extensions to clustered data
• Case–Cohort Analysis with Accelerated Failure Time Model
• Marginal hazards model for case-cohort studies with multiple disease outcomes
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Logistic regression for two-stage case-control data
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
• Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
• Additive Hazards Regression with Covariate Measurement Error
• Case-cohort and case-control analysis with Cox's model
• Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies
• More efficient estimators for case-cohort studies
• Semiparametric transformation models for the case-cohort study
• Semiparametric Inference for Data with A Continuous Outcome from A Two-Phase Probability-Dependent Sampling Scheme
• Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates

This page was built for publication: Statistical inference for the accelerated failure time model under two-stage generalized case–cohort design