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Can I read Modelling Competing Risks in Cancer Studies on EtoBox?
Modelling Competing Risks in Cancer Studies by John P. Klein is a Mathematics article available to read on EtoBox.
What is Modelling Competing Risks in Cancer Studies about?
## Abstract Competing risks arise commonly in the analysis of cancer studies. Most common are the competing risks of relapse and death in remission. These two risks are the primary reason that patients fail treatment. In most medical papers the effects of covariates on the three outcomes (relapse, death in remission and treatment failure) are model by distinct proportional hazards regression models. Since the hazards of relapse and death in remission must add to that of treatment failure, we argue that this model leads to internal inconsistencies. We argue that additive models for either the hazard rates or the cumulative incidence functions are more natural and that these models properly partition the effect of a covariate on treatment failure into its component parts. We illustrate the use and interpretation of additive models for the hazard rate or for the cumulative incidence function using data from a study of the efficacy of two preparative regimes for hematopoietic stem cell transplantation. Copyright © 2006 John Wiley & Sons, Ltd.
Who reads Modelling Competing Risks in Cancer Studies?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- John P. Klein
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
- Published
- 2006
- Language
- EN
- Field
- Mathematics (Physical Sciences)