报告简介  Abstract

Meta-analysis is a statistical technique widely used in evidence-based medicine for analytically combining the findings from independent clinical trials to provide an overall estimation of a treatment effectiveness. In this talk, I will first give an overview of the history and the main procedure of conducting a systematic review and meta-analysis. I will then present some statistical challenges in meta-analysis, and provide our new developments in this direction to advance the literature. Our proposed methods not only improve the existing ones significantly but also share the same virtue of the simplicity. They are also capable to serve as ‘‘rules of thumb’’ and will be widely applied in evidence-based medicine.

嘉宾简介  About the Speaker

童铁军，香港浸会大学副教授，国际统计协会当选会员，主要科研方向包括高维数据分析，Meta分析和循证医学。于2005年在美国加州大学圣巴巴拉分校获得统计学博士学位，2005-2007年在美国耶鲁大学从事生物统计博士后研究，2007-2011年在科罗拉多大学博尔德分校担任助理教授，目前在香港浸会大学数学系担任终身副教授，兼博士生导师。已在国际知名的学术期刊Annals of Applied Statistics，Biometrika，Journal of Machine Learning Research，Journal of the American Statistical Association，Statistical Science等发表学术论文70余篇，单篇论文最高引用900余次。曾主持香港研究資助局项目，香港卫生署健康与医学研究基金项目，国家自然科学基金面上项目等校内外科研项目多项。

海报Poster