UC DATA is proud to be the local host for ICPSR Summer Workshops at UC Berkeley.
Two workshops are being offered:
Causal Inference in the Social Sciences: Matching, Propensity Scores and Other Strategies
Dominik Hangartner, London School of Economics
Marco Steenbergen, University of Bern
July 9 – 13, 2012 (5-day workshop)
This course provides an introduction to statistical methods used for causal inference in the social sciences. Using the potential outcomes framework of causality, we discuss designs and methods for data from randomized experiments and observational studies. In particular, the designs and methods covered in the course include (propensity score) matching, instrumental variables, difference-in-difference, synthetic control, and regression discontinuity. Examples are drawn from across the social science disciplines
The R Statistical Computing Environments: The Basics and Beyond
John Fox, McMaster University
August 6 - 9, 2012 (4-day workshop)
The goal of this four-day workshop is to introduce R and R programming. Each day will combine five to six hours of lectures and demonstrations with two to three hours of hands-on labs. We will begin with a basic overview of, and introduction to, R including statistical modeling - in effect, using R as a statistical package. After that, the workshop picks up where the basic material leaves off, and provides the background required to use R seriously for sophisticated data analysis and presentation. Topics to be covered in the workshop include an introduction to R programming, the design of custom statistical graphs, and unlocking the power of the R statistical programming environment.
More information and registration is at : http://www.icpsr.umich.edu/icpsrweb/sumprog/