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Research Workshop in Applied Statistics
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This Wednesday, September 28, please join the Applied Statistics Workshop
at 12 noon for Xihong Lin's presentation, "Causal Inference in Hybrid
Intervention Trials Involving Treatment Choice." The corresponding paper
is available from the calendar page of the workshop website,
http://www.courses.fas.harvard.edu/~gov3009/.
Lunch will be served at noon, and the presentation will begin at 12:15 PM
in Room N354 of the Institute for Quantitative Social Science, located in
the CGIS Knafel Building at 1737 Cambridge St. (next to the Design
School). We hope you can attend.
Sincerely,
Mike Kellermann
Workshop Coordinator
---
Michael Kellermann
Ph.D Candidate, Department of Government
Harvard University
kellerm(a)fas.harvard.edu
http://people.fas.harvard.edu/~kellerm/
To: NonGov Applied Statistics Workshop students
From: Chris Winship
Re: Course signature
If you plan to sign up for Soc 303a, instead of Gov 3009, my assistant,
Cynthia Rockwell, will
sign your study card for me. Cynthia's office is 518 William James Hall.
She is there from 11 to 4 Monday
through Friday. Thanks.
Chris Winship
Christopher Winship
Norman Tishman and Charles M. Diker Professor of Sociology
620 William James Hall
Harvard University
Cambridge, MA 02138
Tel # 617-495-9821
Fax# 617- 496-5794
email:winship@wjh.harvard.edu
Hi all -
Just a quick reminder that the organizational meeting for the Applied
Statistics Workshop (Gov 3009) is tomorrow at noon in room N354, CGIS North
(1737 Cambridge St.). Students planning to take the workshop for
sat/unsat credit should bring printed copies of their study cards to
obtain the necessary signatures.
Cheers,
Mike
---
Michael Kellermann
Ph.D Candidate, Department of Government
Harvard University
kellerm(a)fas.harvard.edu
http://people.fas.harvard.edu/~kellerm/
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Research Workshop in Applied Statistics
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Faculty Sponsors:
Alberto Abadie (Kennedy School)
Lee Fleming (Business School)
Guido Imbens (Economics)
Gary King (Government)
Kevin Quinn (Government)
James Robins (School of Public Health)
Donald Rubin (Statistics)
Christopher Winship (Sociology)
The Research Workshop in Applied Statistics is a forum for graduate
students, faculty, and visiting scholars to present and discuss work in
progress and exchange ideas. It is intended as a tour of Harvard's
statistical innovations and applications with weekly stops in different
disciplines such as economics, epidemiology, medicine, political science,
psychology, public policy, public health, sociology and statistics. The
topics of papers presented in recent years include matching estimators,
missing data, survey analysis, Bayesian simulation, sample selection,
detecting biological attacks, the impact of the Earned Income Tax Credit,
and voter choice.
Faculty and student participants in the workshop present their current
projects, and guest speakers give occasional presentations. The workshop
provides an excellent opportunity for informal interaction between
graduate students and faculty from a variety of disciplines. Course
credit is available for students as either an upper-level Government or
Sociology class. Free lunch is provided.
If you are interested, please be sure to attend our organizational meeting
on Wednesday, September 21st at noon, in Room N354 at the Institute for
Quantitative Social Science (IQSS is located on the 3rd Floor of CGIS
North, 1737 Cambridge St., located behind the Design School). Contact
information and previous presentations may be found at the course web
site:
http://www.courses.fas.harvard.edu/~gov3009/
To join the gov3009 mailing list, send e-mail to
gov3009-l-request(a)fas.harvard.edu with the following text message:
subscribe
end
Any questions? Please feel free to email me at
<kellerm(a)fas.harvard.edu>.
Sincerely,
Mike Kellermann
Workshop Coordinator
---
Michael Kellermann
Ph.D Candidate, Department of Government
Harvard University
kellerm(a)fas.harvard.edu
http://people.fas.harvard.edu/~kellerm/
HARVARD SOCIAL SCIENCE STATISTICS BLOG GOES LIVE!!
A group of graduate student affiliates of the Institute for
Quantitative Social Science who represent a wide range of academic
disciplines, along with Professor Gary King, have begun a Social
Science Statistics Blog that went live on Tuesday, September 6. Our
daily posts make public some of the hallway conversations about social
science statistical methods and analysis at the Institute. We will
cover a wide range of topics including current methodological trends,
ongoing research results, papers presented (and discussion about)
recent conferences and seminars, and reports on new classes. Comments
from those interested are highly encouraged. Please visit
http://iq.harvard.edu/blog/sss regularly!
Jim Greiner, Chair
Author's Committee