Cox regression model with change-point(s) problems and their application in cancer drug development

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This proposal is for developing and evaluating new statistical methods needed in cancer clinical trial practice, which will enable: 1) identifying cutoff points in predictive biomarkers or build gene signature classifier for cancer treatment selection; 2) better estimating treatment effect; 3) improved planning and analysis of clinical trials, and 4) study its implication in health economics. These methods will be implemented in the frame work of Cox regression models with change-point(s) problems.