Non parametric hazard estimation with dependent censoring using penalized likelihood and an assumed copula

DOI10.1080/03610926.2016.1267757zbMath1379.62089OpenAlexW2560316957MaRDI QIDQ4595917

Jun Ma, Jing Xu, Tania Prvan

Publication date: 6 December 2017

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

Full work available at URL: https://doi.org/10.1080/03610926.2016.1267757

zbMATH Keywords

copulamaximum penalized likelihooddependent censoringmultiplicative iterative algorithmnonparametric hazard estimation

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Generalized Link-Based Additive Survival Models with Informative Censoring ⋮ Penalized Cox regression with a five-parameter spline model

This page was built for publication: Non parametric hazard estimation with dependent censoring using penalized likelihood and an assumed copula