Estimation in a model of competing risks possibly depending on the presence of censorships

DOI10.1016/J.CRMA.2007.02.011zbMath1110.62133OpenAlexW2088260510MaRDI QIDQ877990

Ségolen Geffray

Publication date: 4 May 2007

Published in: Comptes Rendus. Mathématique. Académie des Sciences, Paris (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.crma.2007.02.011

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Unnamed Item
• Unnamed Item
• Convergence en loi des suites d'integrales stochastiques sur l'espace \({\mathbb{D}}^ 1\) de Skorokhod. (Convergence in law of sequences of stochastic integrals on the Skorokhod space \({\mathbb{D}}^ 1)\)
• Strong and weak representations of cumulative hazard function and Kaplan- Meier estimators on increasing sets
• Universal Gaussian approximations under random censorship
• Laws of the iterated logarithm for censored data
• A new method for proving weak convergence results applied to nonparametric estimators in survival analysis.
• \(U\)-statistic processes: A martingale approach

This page was built for publication: Estimation in a model of competing risks possibly depending on the presence of censorships