Fitting semiparametric accelerated failure time models for nested case–control data

DOI10.1080/00949655.2016.1222611OpenAlexW2511302921MaRDI QIDQ5106809

Sangwook Kang

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1222611

zbMATH Keywords

survival analysismultiplier bootstrapweighted estimating equationsinduced smoothingcohort-sampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Sampling theory, sample surveys (62D05) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Smoothed quantile regression for censored residual life

Uses Software

• aftgee

Cites Work

• Unnamed Item
• Fast accelerated failure time modeling for case-cohort data
• Cox's regression model for counting processes: A large sample study
• Rank regression for accelerated failure time model with clustered and censored data
• Large sample theory of a modified Buckley-James estimator for regression analysis with censored data
• Asymptotic theory for nested case-control sampling in the Cox regression model
• A large sample study of rank estimation for censored regression data
• Generalized Case–cohort Sampling
• Induced smoothing for the semiparametric accelerated failure time model: asymptotics and extensions to clustered data
• Marginal hazards model for case-cohort studies with multiple disease outcomes
• Linear rank tests with right censored data
• A pseudolikelihood approach to analysis of nested case-control studies
• Counter-matching: A stratified nested case-control sampling method
• Additive hazards regression for case-cohort studies
• Standard errors and covariance matrices for smoothed rank estimators
• Semiparametric Accelerated Failure Time Modeling for Clustered Failure Times From Stratified Sampling
• Resampling Procedures for Making Inference Under Nested Case–Control Studies
• Model Checking for ROC Regression Analysis
• Improving the Efficiency of Relative-Risk Estimation in Case-Cohort Studies

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