Maximum penalized likelihood estimation of additive hazards models with partly interval censoring

DOI10.1016/j.csda.2019.02.010OpenAlexW2920346585MaRDI QIDQ2416779

Yanyan Li

Publication date: 24 May 2019

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

Full work available at URL: https://doi.org/10.1016/j.csda.2019.02.010

zbMATH Keywords

interval censoringprimal-dual interior point algorithmadditive hazards modelmaximum penalized likelihood estimationautomatic smoothing value selection

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections ⋮ Transformation models with informative partly interval-censored data ⋮ Semiparametric regression with the U-shaped baseline hazard function in the additive hazards model under general censoring mechanisms

Uses Software

• SemiPar

Cites Work

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