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A Power Law Model for Survival Data Using GLIM

✍ Scribed by Shu-Chen Ho Wu; Karen Yuen Fung

Publisher
John Wiley and Sons
Year
1986
Tongue
English
Weight
363 KB
Volume
28
Category
Article
ISSN
0323-3847

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✦ Synopsis

This paper proposes a regression model for the Weibull survival distribution of which the scale parameter is a power function of covariates. The estimation of parameters for partially censored data is pursued by using a statistical package called GLIM. Two sets of carcinogenic data are used to illustrate this procedure.

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