A NEW MULTILEVEL MODELING APPROACH FOR CLUSTERED SURVIVAL DATA

DOI10.1017/S0266466619000343zbMath1447.62076OpenAlexW3009077291MaRDI QIDQ5118576

Mu Yue, Wenyang Zhang, Jinfeng Xu

Publication date: 26 August 2020

Published in: Econometric Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s0266466619000343

zbMATH Keywords

clustered survival data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reliability and life testing (62N05)

Related Items (3)

Optimal model averaging based on forward-validation ⋮ Unnamed Item ⋮ Multi-Threshold Structural Equation Model

Uses Software

• AS 136

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Algorithm AS 136: A K-Means Clustering Algorithm
• Structure identification in panel data analysis
• Regularization for Cox's proportional hazards model with NP-dimensionality
• Cox's regression model for counting processes: A large sample study
• Identifying latent grouped patterns in panel data models with interactive fixed effects
• Weighted sums of certain dependent random variables
• A Semiparametric Multilevel Survival Model
• Identifying Latent Structures in Panel Data
• Grouped Patterns of Heterogeneity in Panel Data
• Bayesian Information Criterion for Censored Survival Models
• Probability Inequalities for Sums of Bounded Random Variables
• Homogeneity Pursuit

This page was built for publication: A NEW MULTILEVEL MODELING APPROACH FOR CLUSTERED SURVIVAL DATA