CSSS was founded in 1999 to galvanize research and teaching on the interface between statistics and the social sciences. This conference celebrated its 10th anniversary.
Organizing committee: Nick Ganoulis, Peter D. Hoff, Becky Pettit, Adrian Raftery & Michael Ward (chair).
|Opening Remarks||Chair: Michael Ward |
Remarks: Dean Ana Marie Cauce and Adrian Raftery
|Session I||Andrew Gelman,
Professor, Department of Statistics and Department of Political Science, Columbia University |
Watch Video: "Red States, Blue States, and Political Polarization"
Chair: Thomas Richardson (UW)
Discussion: Peter Hoff (UW)
On the night of the 2000 presidential election, Americans sat riveted in front of their televisions as polling results divided the nation's map into red and blue states. Since then the color divide has become a symbol of a culture war that thrives on stereotypes--pickup-driving red-state Republicans who vote based on God, guns, and gays; and elitist, latte-sipping blue-state Democrats who are woefully out of touch with heartland values. We relate these geographic divisions to trends in polarization of voters by class, race, religion, and political ideology.
|Session II||Susan Murphy,
H.E. Robbins Professor of Statistics & Research Professor, Institute for Social Research &
Professor in Psychiatry, University of Michigan |
Watch Video: "Adapting to Non-regularity in Constructing Dynamic Treatment Regimes"
Chair: Adrian Dobra (UW)
Discussion: Sibel Sirakaya (UW)
Dynamic treatment regimes are individually tailored treatments. They provide an approach that operationalizes the adaptive decision making in clinical practice, thus lending the opportunity to improve such decision making. However when using data to construct these regimes, hypotheses concerning the choice of which treatment is best at each stage of treatment may concern non-regular parameters. The non-regularity stems from the fact that parameters are functions of maxima. As a result, traditional methods of analyses (bootstrap, Bayesian methods) can have poor frequentist properties. Here we discuss and evaluate an approach that adapts to this non-regular problem by the use of an empirical Bayes approach.
|Session III||Bruce Western,
Professor of Sociology, Harvard University |
Watch Video: "Studying Inequality with Variance Function Regressions"
Chair: Elena Erosheva (UW)
Discussion: Mark Handcock (UW)
Regression-based studies of inequality model only between-group differences, yet often these differences are far exceeded by residual inequality. Residual inequality is usually attributed to measurement error or the influence of unobserved characteristics. We present a regression that includes covariates for both the mean and variance of a dependent variable. In this model, the residual variance is treated as a target for analysis. We apply this model to study the effects of union membership decline on the growth in men's earnings inequality from 1970 to 2006. The union membership data offer additional challenge for data analysis, because survey respondents may misreport their union membership status.
|Session IV||Chris Murray,
Global Health, Director Institute of Health Metrics and Evaluation (IMHE), University of Washington |
Watch Video: "A Global Health Agenda for Applied Statistical Methods"
Chair: Darryl Holman (UW)
Discussion: Chris Adolph (UW)
Murray surveys the recent history of advances in the use of statistical methods to illuminate different aspects of global public health. In addition to the advances made, Murray also address new, growing areas in need of innovation and develops an agenda to help stimulate that innovation.
|Dinner at the Burke Museum||Featured Speaker Stephen Fienberg,
Maurice Falk University Professor of Statistics and Social Science, Carnegie Mellon University|
Watch Video: The Prehistory of CSSS: A Prequel
|Student Poster Listing & .pdfs|
Dinner at the Burke Museum