Incorporating temporal features of repeatedly measured covariates into tree-structured survival models

DOI10.1002/BIMJ.201100013zbMath1242.62122OpenAlexW1524113978WikidataQ35545557 ScholiaQ35545557MaRDI QIDQ2896324

Lan Kong, Sati Mazumdar, Stewart J. Anderson, Benoit H. Mulsant, Meredith L. Wallace

Publication date: 16 July 2012

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4412040

zbMATH Keywords

polynomial regressionlate-life depressiontemporal featurestree-structured model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) Estimation in survival analysis and censored data (62N02)

Uses Software

• nlme
• Unnamed Item

Cites Work

• Random-Effects Models for Longitudinal Data
• Survival trees with time-dependent covariates: Application to estimating changes in the incubation period of AIDS
• Regression Trees for Censored Data
• Piecewise Exponential Survival Trees with Time-Dependent Covariates
• Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
• Survival Trees by Goodness of Split
• Problems in the Analysis of Survey Data, and a Proposal

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