Time: May 11 - 12, 2019
Venue: Lecture Hall, Jiayibing Building, Jingchunyuan 82, BICMR
Description:
The goal of causal inference is to combine external knowledge and study design to draw a causal conclusion between objects. It has gained popularity in fields including statistics, biostatistics, biomedical science, computer science, economics, epidemiology, and various social sciences. This conference will focus on the latest development in the statistic on causal inference in biostatistics. We will also have a pre-conference one-day short course on causal inference.
Xiao-Hua Zhou (Chair, Peking University)
Peng Ding (University of California, Berkeley)
Jinzhu Jia (Peking University)
Zhichao Jiang (Harvard University)
Theis Lange (University of Copenhagen)
Wei Lin (Peking University)
Thomas S. Richardson (University of Washington)
Linbo Wang (University of Toronto)
Yasutaka Chiba (Clinical Research Center, Kindai University Hospital)
Niels Richard Hansen (University of Copenhagen)
Kosuke Imai (Harvard University)
Theis Lange (University of Copenhagen)
Hanzhong Liu (Tsinghua University)
Thomas S. Richardson (University of Washington)
Donald B. Rubin (Tsinghua University and Temple University)
Xiaojun Song (Peking University)
Baoluo Sun (National University of Singapore)
Stijn Vansteelandt (Ghent University，Belgium)
Junni Zhang (Peking University )
Anqi Zhao (National University of Singapore)
Xiao-Hua Zhou (Peking university)