New methods for the additive hazards model with the informatively interval‐censored failure time data

DOI10.1002/BIMJ.202000288zbMath1523.62245OpenAlexW3175489983MaRDI QIDQ6064196

Chunjie Wang, Shu-Ying Wang, Bo Zhao, Jianguo Sun

Publication date: 12 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.202000288

zbMATH Keywords

informative censoringempirical likelihoodadditive hazards modelinterval-censored datapseudo-score estimating equation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Regression analysis of informative current status data with the additive hazards model
• Empirical likelihood ratio confidence regions
• Regression analysis of current status data in the presence of a cured subgroup and dependent censoring
• Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments
• Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data
• Efficient estimation for the proportional hazards model with interval censoring
• Survival analysis. Techniques for censored and truncated data.
• Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring
• The statistical analysis of recurrent events.
• The statistical analysis of interval-censored failure time data.
• Empirical Analysis of Interval-Censored Failure Time Data with Linear Transformation Models
• Analysis of Failure Time Data with Dependent Interval Censoring
• Sieve maximum likelihood regression analysis of dependent current status data
• Instrumental variable additive hazards models
• Empirical likelihood ratio confidence intervals for a single functional
• Additive hazards regression with current status data
• Semiparametric analysis of the additive risk model
• Analyzing Recurrent Event Data With Informative Censoring
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Regression analysis of bivariate current status data under the proportional hazards model
• Regression analysis of case K interval‐censored failure time data in the presence of informative censoring
• Inference on semiparametric transformation model with general interval-censored failure time data

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