Semiparametric left truncation and right censorship models with missing censoring indicators

DOI10.1016/J.SPL.2008.07.021zbMath1147.62311OpenAlexW1989559058MaRDI QIDQ952836

Sundarraman Subramanian, Dipankar Bandyopadhyay

Publication date: 14 November 2008

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2008.07.021

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (3)

The multiple imputations based Kaplan-Meier estimator ⋮ Semiparametric left truncation and right censorship models with missing censoring indicators ⋮ Doubly robust semiparametric estimation for the missing censoring indicator model

Cites Work

• Unnamed Item
• Unnamed Item
• Survival analysis for the missing censoring indicator model using kernel density estimation techniques
• Hazard function estimation from homogeneous right censored data with missing censoring indicators
• Functional laws of the iterated logarithm for the product-limit estimator of a distribution function under random censorship or truncation
• Semiparametric left truncation and right censorship models with missing censoring indicators
• Asymptotic properties of the product limit estimate under random truncation
• Regression analysis with randomly right-censored data
• On semiparametric random censorship models
• Strong representations of the survival function estimator for truncated and censored data with applications
• A semiparametric model for truncated and censored data
• The central limit theorem under semiparametric random censorship models
• On the law of the iterated logarithm for canonical \(U\)-statistics and processes
• The strong law under a semiparametric model for truncated and censored data
• A Semiparametric Model for Randomly Truncated Data
• The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average
• Estimating a distribution function with truncated data
• Statistical models based on counting processes

This page was built for publication: Semiparametric left truncation and right censorship models with missing censoring indicators