|
Abstract:
|
Precision medicine is the systematic use of information pertaining to an individual patient to select or optimize that patient's preventative and therapeutic care. With today's modern technology and big data, it is much easier to identify important biomarkers that may associate with certain diseases and their treatments. To design a clinical trial for precision medicine, one should include these important biomarkers. In this talk, we will propose a new family of covariate-adjusted response-adaptive designs, which incorporate these biomarkers as well as the responses. Advantages of the proposed methods are demonstrated through both theoretical and numerical studies. Some further statistical issues are also discussed.
|
