Assessing Adequacy of the Semiparametric Scale Change Hazards Regression Models


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A class of semiparametric scale change hazards regression models called the accelerated hazards models was proposed to identify a treatment effect characterized by the scale change between hazards functions without knowing their functional forms. In this article, numerical and graphical methods based on the processes, which have similar properties as those of score processes in the proportional hazards model, are proposed and studied to assess the model’s adequacy. Data collected from actual clinical studies are analyzed with these methods as well. These methods provide useful statistical tools to help practitioners with making more rigorous judgments in implementing this model in practice.


Clinical Trials | Statistical Models | Survival Analysis

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