2008arXiv (Cornell University)Open access

Semi-Competing Risks on A Trivariate Weibull Survival Model

Cheng K. Lee, Jenq-Daw Lee

Open full text 0 citations

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.

Open-access reader

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Weibull distribution, Econometrics, Statistics, Economics, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Semi-Competing Risks on A Trivariate Weibull Survival Model — Research Paper | ScholarLens