Regression models with arbitrarily interval-censored observations

DOI10.1080/03610929908832372zbMath0937.62072OpenAlexW2020086221MaRDI QIDQ4266870

Lin Xiong Li, Zongwei Pu

Publication date: 14 June 2000

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

Full work available at URL: https://doi.org/10.1080/03610929908832372

zbMATH Keywords

proportional hazards modelgeneralized maximum likelihood estimatorself-consistent estimator

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Generalized linear models (logistic models) (62J12)

Related Items (5)

A note on the proportional hazards model with discontinuous data ⋮ Semi-parametric MLE in Simple Linear Regression Analysis with Interval-Censored Data ⋮ A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model ⋮ Nonparametric estimation of current status data with dependent censoring ⋮ Relationship Between the Cox, Lehmann, Weibull, and Accelerated Lifetime Models

Cites Work

• A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
• Least squares regression with censored data
• Self-consistent estimators of survival functions with doubly-censored data
• A Proportional Hazards Model for Interval-Censored Failure Time Data
• The Theil-Sen Estimator With Doubly Censored Data and Applications to Astronomy

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