Schedule of Events 2011-2012

September 20, 2011

Luncheon - Jennifer Beaumont, MS, PhD candidate (Biostatistics – UIC), Statistical Analyst, Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine

Patient Reported Outcomes in Clinical Trials

October 25, 2011
Luncheon - Lihui Zhao
Assistant Professor
Department of Preventative Medicine
Feinberg School of Medicine
Northwestern University

Effectively Selecting a Target Population for a Future Comparative Study

November 15, 2011

Luncheon - Dulal K. Bhaumik PhD 
Professor of Biostatistics
Psychiatry and Bioengineering
University of Illinois at Chicago

Sample Size Determination for Three-level Longitudinal Models with Differential Attrition

December 6, 2011 Luncheon -  Steve Ziliak, MS, Professor of Economics Roosevelt University

Significance on Trial

January 24, 2012

Luncheon - Jim Guszcza, PhD, FCAS, MAAA
National Predictive Analytics Lead in the Deloitte Actuarial, Risk, and Analytics practice
Assistant professor in the Department of Actuarial Science, Risk Management, and Insurance at the University of Wisconsin-Madison

Applications of Multilevel/Hierarchical Models in Actuarial Science

 February 12, 2012

Luncheon - Dean Malmgren, PhD and Mike Stringer, PhD
of Datascope Analytics Present:

Data-driven: The love child of statistics and design

 March 20, 2012

Luncheon - Dave Lewis, PhD
David D. Lewis Consulting

The Role of Statistics in Electronic Discovery


 March 30, 2012

Workshop - Tetrad: Machine Learning and Graphical Causal Models

Richard Scheines, Carnegie Mellon University
Joseph Ramsey, Carnegie Mellon University

8:30 AM - 4:30 PM
The Feinberg School of Medicine, Northwestern University
680 North Lake Shore Drive, Suite 1400, Chicago, IL 60611


April 21-22, 2012

First annual Midwest Undergraduate Data Analytics Competition (www.MUDAC.org)  The Department of Mathematics and Statistics at Winona State University is hosting this event.

The Midwest Undergraduate Data Analytics Competition will bring together teams of undergraduate students from the upper Midwest to solve an analytics problem for Fastenal, a global leader in the distribution of industrial and construction supplies. Teams will act as consultants for Fastenal and all teams will share their recommendations with representatives from the company. Cash prizes will be awarded to teams that provided the best solutions.

April 24, 2012

Luncheon - Nelson Zamora
CFA, Senior Managing Director, PPM America

Loss Modeling of Corporate Bonds; Foundations and Practice

 May 4, 2012

Conference - America the Predictable?
Different approaches to understanding and forecasting political election results. 

Location: Loyola University, Downtown Water Tower Campus (Kasbeer Hall)

Conference Program

9:00 a.m. - 9:30 a.m. Registration and continental breakfast

9:30 a.m. - 9:45 a.m. Conference Welcome by John VanderPloeg, Conference VP

9:45 a.m. - 10:45 a.m. Session One Speaker: David W. Moore
(Senior Fellow, The Carsey Institute, University of New Hampshire)
Topic: Issues With Polling Entities

10:45 a.m. - 11:00 a.m. Morning break

11:00 a.m. - 12:00 p.m. Session Two Speaker: John G. Geer
(Professor of Political Science, Vanderbilt University)
Topic: Political Attack Advertising

12:00 p.m. - 1:00 p.m. Lunch

1:00 p.m. - 2:00 p.m. Session Three Speaker: Allan Lichtman
(Distinguished Professor of History, American University)
Title: The Keys to the White House: Forecast for 2012

2:00 p.m. - 3:00 p.m. Session Four Speaker: Forrest Nelson
(Professor, University of Iowa)
Title: Iowa Electronic Markets - 2012 Presidential Elections

3:00 p.m. - 3:15 p.m. Afternoon break

3:15 p.m. - 4:15 p.m. Session Five Speaker : Filippo Menczer
(Professor of Informatics and Computer Science, Indiana University)
Title: Tracking the Diffusion of Political Ideas in Social Media

May 30, 2012

Workshop -
The Northeastern Illinois Chapter of the ASA Announces its 2012 Spring Workshop, featuring ASA Travelling Course on:

Applied Survival Analysis by Dr. Susanne May

Introduction to survival analysis
Survival analysis data
Descriptive methods
Comparison of survival functions
Regression modeling of survival data
Fitting the Cox proportional hazards model
Interpretation of the fitted model
Model building strategies
Assessing model adequacy
Extensions of the proportional hazards model
Stratified proportional hazards model
Time-varying covariates