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Competing Risks: A Practical Perspective

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Melania Pintilie
Publisher: Wiley
Copyright: 2006
ISBN-13: 978-0-470-87068-6
Pages: 224; hardcover
Price: $94.50
Melania Pintilie
Publisher: Wiley
Copyright: 2006
Pages: 224; eBook
Price: $0.00

Comment from the Stata technical group

In survival analysis, competing risks refers to events that impede the failure event of interest—death from unrelated causes during a study involving the recurrence of breast cancer, for example. Competing risks analysis is becoming an increasingly popular topic in medical research because practitioners have discovered that the standard assumptions made when treating competing events as censored are often violated in practice. Further confusing the issue is the fact that competing events sometimes can be treated as censored, which is more a computational device than an acceptance of the assumptions.

This text introduces competing risks from first principles and definitions, and it covers the two primary methods for dealing with competing-risks analysis: cause-specific analysis and the calculation and modeling of cumulative incidence functions. For the latter, the concepts of subdistribution functions and subhazard functions are introduced. Both nonparametric analysis and semiparametric regression models are considered. The text uses a series of real datasets from the medical literature throughout, and most of the analyses can be reproduced in Stata 11.

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