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Statistical Methods in Meta-Analysis and Their Recent Advancements

【数学与统计及交叉学科前沿论坛------高端学术讲座第161场】


报告题目:Statistical Methods in Meta-Analysis and Their Recent Advancements

人:Tiejun Tong 教授

报告时间:722日周二9:30

报告地点:阜成路校区综合楼1215A


报告摘要:Abstract: Meta-analysis is a widely used statistical technique to synthesize the research findings from multiple studies for decision making. In evidence-based medicine, meta-analytic results are often regarded as the most reliable source of evidence. In this talk, I will provide an overview of the meta-analysis and outline the main procedure for conducting a systematic review, followed by a discussion of key challenges encountered in the implementation of meta-analysis. Finally, I will share some recent advances from our research group in developing new statistical modelling and methods for meta-analysis, along with their potential applications in evidence-based practice.


报告人简介:童铁军(Tiejun Tong),香港浸会大学数学系教授。2005年博士毕业于美国加州大学圣巴巴拉分校,2005-2007年在美国耶鲁大学从事博士后研究,2007-2010年在美国科罗拉多大学博尔德分校担任助理教授,2010年至今任职于香港浸会大学数学系。主要科研方向包括非参数回归模型、高维数据分析、Meta分析和循证医学。已在国际知名学术期刊如JASABiometrikaStatistical ScienceJMLRNature Communications上发表了学术论文100余篇,其中包括数篇ESI热点论文和ESI高被引论文,单篇论文最高被引用超过9100次。