Sieve maximum likelihood estimation for the proportional hazards model under informative censoring

DOI10.1016/j.csda.2017.03.006zbMath1464.62045OpenAlexW2594142422MaRDI QIDQ1654279

Tao Hu, Jianguo Sun, Xue-rong Chen

Publication date: 7 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2017.03.006

zbMATH Keywords

proportional hazard modelinformative censoringcopula modelsieve maximum likelihood estimation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring ⋮ Cluster non‐Gaussian functional data ⋮ A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence

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