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On Generalized Log-Logistic Model for Censored Survival Data

โœ Scribed by Prof. Karan P. Singh; Carl M.-S. Lee; E. Olusegun George

Publisher
John Wiley and Sons
Year
1988
Tongue
English
Weight
381 KB
Volume
30
Category
Article
ISSN
0323-3847

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โœฆ Synopsis

In the analysis of survival data wit& parametric models, i t is well known that the Weibull model is not suitable for modeling where the hazard rate ie non-monotonic. For moh c a m , loglogistic model is frequently used. However, due to the symmetric property of the log-logistic model, i t may be poor for the caaea where the hazard rate is ekewed or heavily tailed. In this paper, we suggest a generalization of the log-bghtic model by introducing 8 shape parameter. This generalized model is then applied to fit the lung cancer d a b of R~ITTICIE (1973). The resnlta seem to improve over those obtained by ueing the log-logistic model.

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