Modeling clustered survival times of loblolly pine with time-dependent covariates and shared frailties

DOI10.1007/s13253-015-0217-2zbMath1342.62180OpenAlexW1248370053MaRDI QIDQ736736

Yili Hong, Ram Thapa, Harold E. Burkhart, Jie Li

Publication date: 5 August 2016

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-015-0217-2

zbMATH Keywords

proportional hazardsCox modelmodel validation\textit{Pinus taeda L.}gamma shared frailtyindividual-tree survival model

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Uses Software

• rms
• STJM

Cites Work

• Unnamed Item
• Modeling survival data: extending the Cox model
• Survival analysis. Techniques for censored and truncated data.
• The frailty model.
• A Semiparametric Joint Model for Longitudinal and Survival Data with Application to Hemodialysis Study
• Nonparametric Estimation from Incomplete Observations
• Joint modelling of longitudinal measurements and event time data
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis

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