Statistical Methods in the Design and Analysis of Clinical Trials and Assessment of Prediction with Patient-Specific Information

在接下来的五年里，我将开发新的方法来估计，测试和进行统计推断，以提高基于患者特定数据的预测模型的准确性。将研究各种删失的生存结局数据的预测误差，适用于治愈和未治愈患者人群的治愈率模型以及高维数据。这项研究对于健康和医学研究人员来说非常重要，他们正在预测患者的体质，疾病类别或对治疗的反应。它也是统计学方法研究的一个重要领域，需要计算方法和理论发展。我要培养一个博士。学生在处理这些统计挑战，建立在这方面的研究，为实际应用和统计科学的进步。

In the next five years, I will develop new methods in estimation, testing and making statistical inference for the accuracy of prediction models built upon patient specific data. Prediction error will be studied for survival outcome data with various types of censoring, for cure-rate models which accommodate cured and uncured patient populations and for high dimensional data. The research is important for health and medical researchers who are making predictions for patients' prognostics, disease categories or responses to therapy. It is also an important area of methodological research in statistics in need of computational methods and theoretical development. I will train a Ph.D. student in dealing with these statistical challenges to build up the research in this area for both practical use and advancement of statistical science.