Cluster validity indices for mixture hazards regression models

DOI10.3934/mbe.2020085zbMath1472.62091OpenAlexW2995433447WikidataQ90792573 ScholiaQ90792573MaRDI QIDQ2045802

Yi-Wen Chang, Kang-Ping Lu, Shao-Tung Chang

Publication date: 13 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020085

zbMATH Keywords

EM-algorithmkernel estimatorCox proportional hazards modelmixture regression modelvalidity indices

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Uses Software

• ELYP

Cites Work

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• Adaptive kernel estimation of the baseline function in the Cox model with high-dimensional covariates
• Numerical taxonomy with fuzzy sets
• Robust cluster validity indexes
• Bandwidth choice for nonparametric hazard rate estimation
• On fuzzy cluster validity indices
• Kernel Smoothing in Matlab
• Maximum likelihood estimation of semiparametric mixture component models for competing risks data
• Finite mixture models
• Prediction of Cumulative Incidence Function under the Proportional Hazards Model
• Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data
• Semiparametric analysis of mixture regression models with competing risks data
• Cluster Validity with Fuzzy Sets

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