On the maximum penalized likelihood approach for proportional hazard models with right censored survival data

DOI10.1016/j.csda.2014.01.005zbMath1506.62121OpenAlexW2109028846WikidataQ57772517 ScholiaQ57772517MaRDI QIDQ1623455

Stephane Heritier, Jun Ma, Serigne N. Lô

Publication date: 23 November 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.2014.01.005

zbMATH Keywords

proportional hazard modelmaximum penalized likelihoodNewton's algorithmindependent censoringmultiplicative iterative algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Reliability and life testing (62N05)

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On maximum likelihood estimation of the semi-parametric Cox model with time-varying covariates ⋮ Generalized Link-Based Additive Survival Models with Informative Censoring ⋮ \(l_1\) regularized multiplicative iterative path algorithm for non-negative generalized linear models ⋮ A prediction-driven mixture cure model and its application in credit scoring ⋮ Most Likely Transformations

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