Cluster validity indices for mixture hazards regression models

Cluster validity indices for mixture hazards regression models

In the analysis of survival data, the problems of competing risks arise frequently in medical applications where individuals fail from multiple causes. Semiparametric mixture regression models have become a prominent approach in competing risks analysis due to their flexibility and easy interpretati...

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Bibliographic Details
Main Authors: Yi-Wen Chang, Kang-Ping Lu, Shao-Tung Chang
Format: Article
Language:English
Published: AIMS Press 2020-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
mixture regression model
cox proportional hazards model
em-algorithm
kernel estimator
validity indices
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020085?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2020085?viewType=HTML

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