[Statlist] Donald Rubin: Three-day Course in Causality, 5 to 7 February 2020

[office sss]

Dear All,

we would like to inform you about the following course:

Donald Rubin: Three-day Course in Causalit

About the Course
Most questions in social and biomedical sciences are causal in nature: what
would happen to individuals, or to groups, if part of their environment
were changed? In the course, the world-renowned expert Donald Rubin (Prof.
em. Harvard) presents statistical methods for studying such questions. The
course will follow his book Causal Inference for Statistics, Social, and
Biomedical Sciences (Cambridge University Press, 2016) and starts with the
notion of potential outcomes, each corresponding to the outcome that would
be realized if a subject were exposed to a particular treatment or regime.
In this approach, causal effects are comparisons of such potential
outcomes. The fundamental problem of causal inference is that we can only
observe one of the potential outcomes for a particular subject. Prof. Rubin
will discuss how randomized experiments allow us to assess causal effects
and then turn to observational studies. They lay out the assumptions needed
for causal inference and describe the leading analysis methods, including
matching, propensity-score methods, and instrumental variables. Many
detailed applications will be shown, with special focus on practical
aspects for the empirical researcher.


About the Lecturer
Donald B. Rubin is Professor Emeritus of Statistics, Harvard University,
where he has been professor from 1984 to 2018 and department chair for
fifteen years. Since 2018 he is professor at the Yau Mathematical Sciences
Center, Tsinghua University, China, and Murray Shusterman Senior Research
Fellow at the Department of Statistical Science, Fox School of Business,
Temple University, Philadelphia.

Rubin has authored or co-authored over four hundred publications (including
14 books), has four joint patents, and has made important contributions to
statistical theory and methodology, particularly in causal inference,
design and analysis of experiments and sample surveys, treatment of missing
data, and Bayesian data analysis. Rubin has received the Samuel S. Wilks
Medal from the American Statistical Association, the Parzen Prize for
Statistical Innovation, the Fisher Lectureship, and the George W. Snedecor
Award from the Committee of Presidents of Statistical Societies. He was
named Statistician of the Year by the American Statistical Association,
Boston and Chicago chapters. He is one of the most highly cited authors in
mathematics and economics with over 300’000 citations to date, whereof his
twelve singly authored publications have over a thousand citations each.

Among the many PhD students Rubin supervised are Paul R. Rosenbaum, Andrew
Gelman, and Joseph L. Schafer. Over the years, Rubin has been awarded with
five honorary doctorates and five honorary professorships from Universities
in Europe, South Africa, China, North and South America.


Location
The course will be held in the Waldhotel Doldenhorn in Kandersteg (
www.doldenhorn-ruedihus.ch). The hotel offers a free shuttle service from
the train station.


Date and Hour
Arrival Tuesday 4, the course starts Wednesday 5 and ends Friday 7 February
in the afternoon.


Fees
Members of the Swiss Statistical Society: 1490 Fr.
Non-Members: 1790 Fr.
Students (limited no. of seats): 990 Fr.

The course fees cover the three-day lecture by Donald Rubin, accommodation
for three nights in double-bedrooms, breakfast, a light three-course
business lunch at noon, and a five-course dinner in the evening.


Registration Deadline
October 15, 2019.


Registration and Information
Swiss Statistical Society (SSS)
CH-3000 Bern
044 350 03 41
sss using stat.ch

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