Project Details
Abstract
After completion of the Human Genome Project (HGP), the disease biomarker can be identified. As a result, treatment modality for predictive biomarker can be developed. However, the accuracy of diagnostic devices for identification of such predictive biomarker is usually not perfect. Therefore, the treatment effects of the targeted therapy estimated from predictive biomarker clinical trials could be biased. We will propose the method to incorporate the inaccuracy of the diagnostic variance for statistical inference of the predictive biomarker clinical trials under enrichment design and unselected design, with respect to the censored data. Hence, this research proposal will be devoted to develop the statistical methodology for evaluation two types of designs under weibull distribution model.
Project IDs
Project ID:PA10207-0408
External Project ID:NSC102-2118-M182-002
External Project ID:NSC102-2118-M182-002
| Status | Finished |
|---|---|
| Effective start/end date | 01/08/13 → 31/07/14 |
Keywords
- Predictive biomarker
- Targeted therapy
- Enrichment design
- Unselected design
- EM algorithm
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