Semi-parametric Random Censorship Models

DOI10.1007/978-3-319-50986-0_3zbMath1383.62211OpenAlexW4243512283MaRDI QIDQ4609011

Gerhard Dikta

Publication date: 29 March 2018

Published in: From Statistics to Mathematical Finance (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-50986-0_3

zbMATH Keywords

designincomplete observationssemiparametric random censorship modelslifetime studies

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Semi-parametric survival function estimators deduced from an identifying Volterra type integral equation
• Asymptotically efficient estimation under semi-parametric random censorship models
• A heavy censoring limit theorem for the product limit estimator
• Asymptotic optimality of the product limit estimator
• On semiparametric random censorship models
• The strong law under random censorship
• Nonparametric model checks for regression
• Model checks for regression: an innovation process approach
• The central limit theorem under semiparametric random censorship models
• The central limit theorem under random censorship
• The strong law under semiparametric random censorship models
• Model-based confidence bands for survival functions
• A survey of product-integration with a view toward application in survival analysis
• Nonparametric Estimation from Incomplete Observations
• Bootstrapping the Kaplan-Meier Estimator
• Bootstrap Approximations in Model Checks for Regression
• Censored Data and the Bootstrap
• Estimating the median survival time
• On a generalization of the Glivenko-Cantelli theorem
• Presmoothed Kaplan–Meier and Nelson–Aalen estimators
• Small-Sample Results for the Kaplan-Meier Estimator
• Bootstrap Approximations in Model Checks for Binary Data

This page was built for publication: Semi-parametric Random Censorship Models