學術活動公告

學術活動公告

[Reschedule 5/26 to 6/2 ]Causal Inference Workshop (6/2 , 8:00 pm, online Workshop)

Causal Inference Workshop

**To reschedule the meeting (5/26) to the following Wednesday, June 2 at 8:00pm.

*Lecturer: Wendy K Tam Cho

(Visiting Professor at the Department of Geography, NTU)

*Date: 4/28, 5/12, 5/26(Reschedule to 6/2 at 8:00 pm)

*Causal Inference Workshop (online)  (June 2 at 8:00 pm)
Meeting link:

https://ntucc.webex.com/ntucc/j.php?MTID=m66f8e25848c446c36e6be6415fabe5d4
Meeting ID:184 981 1234
Password: 0000

*Registration ( limit to  50 people

*Wendy K. Tam Cho is Professor in the Departments of Political Science, Statistics, Mathematics, Computer Science, Asian American Studies, and the College of Law, Senior Research Scientist at the National Center for Supercomputing Applications, Faculty in the Illinois Informatics Institute, and Affiliate of the Cline Center for Advanced Social Research, the Computational Science and Engineering Program, and the Program on Law, Behavior, and Social Science, at the University of Illinois at Urbana-Champaign. She has also been awarded fellowships by the John Simon Guggenheim Memorial Foundation, the Society for Political Methodology, and the Hoover Institution as well as the Center for Advanced Study in the Behavioral Sciences at Stanford University.

*Course Description(PDF)

This workshop provides a broad overview of statistical causal inference methods in the tradition of Neyman and Rubin. The material presumes an intermediate level of knowledge of statistical methods and mathematics. Prerequisites include a course in probability and inference and at least one course in linear models.

        Please complete the assigned reading prior to each session. The workshop will be in the format of a seminar discussion. Accordingly, all students should have prepared remarks for each of the readings for every class session.

        The readings can be downloaded here: https://drive.google.com/drive/folders/1XLKIMFN4eFQ6fqJ5CjbMWW14LNXD5SXf?usp=sharing

 注意事項提醒:參加此系列講座的學生要閱讀該課程指定文獻,並具備統計相關背景,本講座均為英文授課。

 

Wednesday, April 28, 5:30-7:30 pm

Readings (to be completed before the meeting):

  • Holland, P. W. (1986). Statistics and causal inference. Journal of the American statistical Association81(396), 945-960.
  • Rubin, D. B. (1986). Comment: Which ifs have causal answers. Journal of the American statistical association81(396), 961-962.
  • Rubin, D. B. (1973). Matching to remove bias in observational studies. Biometrics, 159-183.

 

Wednesday, May 12, 5:30-7:30 pm

Reading (to be completed before the meeting):

  • Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika70(1), 41-55.
  • Tam Cho, W. K., Sauppe, J. J., Nikolaev, A. G., Jacobson, S. H., & Sewell, E. C. (2013). An optimization approach for making causal inferences. Statistica Neerlandica67(2), 211-226.
  • Cho, W. K. T. (2017). Causal inferences from many experiments. Journal of Applied Statistics44(16), 2908-2922.

Wednesday, May 26, 5:30-7:30 pm (Online Workshop)** To reschedule the meeting to the following Wednesday, June 2 at 8pm.

Reading (to be completed before the meeting):

  • Simmons, B. A., & Hopkins, D. J. (2005). The constraining power of international treaties: Theory and methods. American Political Science Review, 623-631.
  • Przeworski, A. (2007). Is the science of comparative politics possible?
更新時間: 2021-04-21 16:29:07