Semi-Competing Risks on A Trivariate Weibull Survival Model
Cheng K. Lee, Jenq-Daw Lee
TL;DR
This paper introduces a novel trivariate Weibull survival model based on semi-competing risks, applied to heart transplant data, to better understand complex survival dependencies.
Contribution
It proposes a new semi-competing risks survival function within a trivariate Weibull framework, extending existing models for complex survival analysis.
Findings
Reanalyzed Stanford Heart Transplant data successfully
Demonstrated the applicability of the trivariate Weibull model
Provided insights into survival dependencies in medical data
Abstract
A setting of a trivairate survival function using semi-competing risks concept is proposed. The Stanford Heart Transplant data is reanalyzed using a trivariate Weibull distribution model with the proposed survival function.
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Taxonomy
TopicsStatistical Distribution Estimation and Applications · Statistical Methods and Bayesian Inference · Statistical Methods and Inference