✦ LIBER ✦

Removing Cancer when it is Correlated with other Causes of Death

✍ Scribed by Jacques F. Carrière

Publisher: John Wiley and Sons
Year: 1995
Tongue: English
Weight: 505 KB
Volume: 37
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710370308

No coin nor oath required. For personal study only.

✦ Synopsis

This paper presents an identifiability theorem in the theory of dependent competing risks and it applies the result by examining the effect of removing cancer from the United States population when cancer is correlated with the other causes of death. The paper shows how dependence can be modeled with copula functions and it shows that calculating the survival probabilities after cancer is removed is equivalent to solving a system of nonlinear differential equations.

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