题目：Modern Biostatistical Methods: Capabilities, Cautions and Challenges
报告人：Professor Xinming Tu (University of Rochester)
时间：2015年7月10日13:00
地点：文理学院323（1C323）
报告摘要：
Modern statistical methods provide a powerful fool to address complex statistical issues arising in clinical research and practice. Harnessing the power of such methods can be quite a challenging task, even for professional biostatisticians. Too often, a range of competing methods is available and it can be quite difficult to determine the approach most appropriate to address the issues at hand, especially when one needs to defend the approach used, as is often the case in grant applications and manuscript publications. Many statistical models may seem quite similar, but can actually produce quite different results with completely different interpretations. Also, as statistical packages become ever “user-friendly”, it is tempting to use them without having a good understanding of the underlying statistical methods as well as the quality of the implementation of the methods by the packages. In this talk, we discuss a range of popular statistical methods for clinical research and appropriate contexts for their applications using data from both real and simulated studies.
报告人简介
Xinming Tu教授现为University of Rochester生物统计与计算生物学系教授。本科毕业于复旦大学数学系，硕士毕业于Duke University统计与数值分析专业，于1989年获得Duke University统计与应用数学，于1990—1992年在Harvard School of Public Health生物统计系从事博士后研究。Xinming Tu教授主要从事生物统计学、医学统计学、应用统计以及统计计算等方面的研究。他在本学科重要学术期刊上共发表论文200余篇，其中多篇论文发表在国际顶级期刊如Journal of the American Statistical Association, Biometrika, The American Journal of Psychiatry上。
