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A Power Law Model for Survival Data Using GLIM |
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| Authors: | Shu-Chen Ho Wu Karen Yuen Fung |
| Abstract: | 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. |
| Keywords: | Weibull survival Power law Censored data Covariates GLIM Carcinogenic data |