Partially Linear Structure Selection in Cox Models with Varying Coefficients

DOI10.1111/biom.12024zbMath1274.62819OpenAlexW1491032571WikidataQ45119961 ScholiaQ45119961MaRDI QIDQ2846441

Peng Lai, Hua Liang, Heng Lian

Publication date: 5 September 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12024

zbMATH Keywords

polynomial splinesAkaike information criterionBayesian information criterionsparsistencyconstansistency

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (8)

Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression ⋮ Shrinkage estimation for identification of linear components in composite quantile additive models ⋮ Variable selection and structure identification for varying coefficient Cox models ⋮ Residuals based Kolmogorov-Smirnov and Cramér-von Mises tests for varying coefficient models ⋮ Semiparametric model averaging method for survival probability predictions of patients ⋮ Variance function additive partial linear models ⋮ Robust estimation and model identification for longitudinal data varying-coefficient model ⋮ Model pursuit and variable selection in the additive accelerated failure time model

Uses Software

• hgam

Cites Work

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