Empirical likelihood method for the multivariate accelerated failure time models

DOI10.1016/j.jspi.2010.09.001zbMath1200.62028OpenAlexW1984160201MaRDI QIDQ607219

Wen Yu, Ming Zheng

Publication date: 19 November 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.09.001

zbMATH Keywords

likelihood ratio testempirical likelihoodaccelerated failure time modelrank estimationWilks theoremclustered events datamultiple events datarecurrent events data

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items

Empirical Likelihood Based Synthetic Data Method for Censored Regression Analysis, Empirical likelihood inference for general transformation models with right censored data

Uses Software

• emplik

Cites Work

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• Empirical likelihood ratio confidence regions
• Estimating regression parameters using linear rank tests for censored data
• Empirical likelihood for linear models
• Empirical likelihood confidence intervals for linear regression coefficients
• Empirical likelihood and general estimating equations
• A large sample study of rank estimation for censored regression data
• Empirical likelihood inference for linear transformation models
• Rank Regression Analysis of Multivariate Failure Time Data Based on Marginal Linear Models
• Empirical likelihood ratio confidence intervals for a single functional
• Empirical likelihood confidence intervals for nonparametric density estimation
• Linear Regression Analysis for Multivariate Failure Time Observations
• Confidence Interval Estimation of Survival Probabilities for Censored Data
• Linear rank tests with right censored data
• Accelerated failure time models for counting processes
• Rank-based inference for the accelerated failure time model
• Empirical Likelihood for Censored Linear Regression
• EMPIRICAL LIKELIHOOD FOR COX REGRESSION MODEL UNDER RANDOM CENSORSHIP
• Estimating equations, empirical likelihood and constraints on parameters
• Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model