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A partial score test..

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A partial score test..

  1. 1. [1] Thanks for Professor Cheng’s introduction. The title of this talk is “A Partial Score Test for Difference among Heterogeneous Populations” ” [2] I will give a brief review on the PH model and on several classes of weighted log-rank tests, and I will describe what are the problems behind when the PH assumption is not satisfied. In fact, one real problem is: in several fields, such as epi. study, or clinical trial study, they rely so much on profound statistical method to answer their scientific questions involving survival analysis or event-history analysis, and the Cox PH model is used from time to time to give a relative risk estimate for some specific risk factor, even non-PH phenomenon appears to be apparent in the dataset or in the analysis. So this study introduces a more extended model, developed by Prof. Fushing Hsieh, who incorporated a heteroscedasticity parameter to allow for some kind of heterogeneity so that non-PH or crossing
  2. 2. hazards behaviour can be suitably modeled, and based on this extended model, the partial score test can be used to test for equivalence of survivals between several populations or sub- populations with a better power. The performance of the proposed test will then be compared to several well-known weighted log-rank tests by simulations and data analysis. And, all these tests have a similar purpose to answer the question of testing equivalence, to some extent.
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