Regression analysis of interval-censored data with informative observation times under the accelerated failure time model

DOI10.1007/s11424-021-0209-yOpenAlexW3192555813MaRDI QIDQ2674943

Lijian Dong, Jianguo Sun, Shishun Zhao

Publication date: 14 September 2022

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-021-0209-y

zbMATH Keywords

splinesinformative censoringaccelerated failure time modelcopula modelsinterval-censored data

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• An introduction to copulas.
• Cox regression analysis of dependent interval-censored failure time data
• Regression analysis of interval-censored failure time data with the additive hazards model in the presence of informative censoring
• Efficient estimation for the proportional hazards model with interval censoring
• The statistical analysis of interval-censored failure time data.
• Computationally simple accelerated failure time regression for interval censored data
• A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
• Semiparametric transformation models for current status data with informative censoring
• A Frailty Model for Informative Censoring
• Efficient Estimation for the Accelerated Failure Time Model
• A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
• Accelerated failure time models for counting processes
• Rank-based inference for the accelerated failure time model
• On Profile Likelihood
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• Regression with interval-censored data
• Regression analysis of informatively interval-censored failure time data with semiparametric linear transformation model
• Regression analysis of case K interval‐censored failure time data in the presence of informative censoring
• Maximum likelihood estimation for semiparametric transformation models with interval-censored data
• Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data
• Estimation of the mean function with panel count data using monotone polynomial splines