statistics — CT Numbers — Connecticut by the Numbers

Connecticut-based ESPN is among the sponsors for the upcoming New England Symposium on Statistics in Sports, to be held on September 21 at Harvard University, that will include a panel discussion to feature Eric Van, sabermetric baseball operations consultant for the Boston Red Sox, Ben Baumer, who handled statistical analysis for the New York Mets from 2004 through 2012, and Vince Gennnaro, a consultant to a number of Major League Baseball teams during the past decade.

Panel moderator is Andy Andres, head coach and lead instructor of the MIT Science of Baseball program and Fenway Park datacaster/stringer for mlb.com. Featured speakers are Jim Albert of Bowling Green State University, on “Assessing Streakiness in Home Run Hitting,” and Richard Smith, of the University of North Carolina, who will present for the first-time a statistical model for predicting the finish times of individuals who were running in the 2013 Boston Marathon but were unable to complete the race, as previously reported by Connecticut by the Numbers.

The Symposium is a meeting of statisticians and quantitative analysts connected with sports teams, sports media, and universities to discuss common problems of interest in statistical modeling and analysis of sports data. The symposium is part of a year-long series of programs and events around the world during the International Year of Statistics.

In addition to the featured presentations, the scheduled presentations at the Sept. 21 Symposium will focus on statistical research and analysis conducted in areas including:

statistics-based revisions to defensive alignments in the NBA,
how weather affects the knuckleball,
whether crossing helps or hurts scoring in premier soccer, and
trends such as match time and game duration in professional tennis.

Co-chairs of the conference are Mark Glickman, Senior Statistician at Boston University and Scott Evans, Senior Research Scientist at Harvard. Registration is now open for the day-long symposium.

ESPN operates a Stats & Info blog that shares with fans the information that the ESPN Stats & Information Group provides to its production teams around the company. The Stats & Info blog's content is a must-read at ESPN - on-camera talent, producers, bloggers, columnists and editors use Stats & Info insight on a daily basis. Individuals can subscribe to the blog for around-the-clock notes, stats and trends, using a blend of traditional statistics and the advanced metrics that the network describes as the "next level."

Industry sponsors Sports Data Hub, ESPN Stats & Info, RStudio and Revolution Analytics, as well as the Harvard Statistics Department, the Boston Chapter of the American Statistical Association, and the Section in Sports of the American Statistical Association are providing support for the conference.

National Outreach Symposium in November

Sports are but one aspect of the growing use of statistics throughout everyday life. The U.S. government’s Bureau of Labor Statistics is working with other federal agencies to host an outreach symposium November 13 and 14, 2013 to celebrate the International Year of Statistics 2013.

The goal of this two-day event is to present an overview of statistical methodologies and how they can be applied to diverse applications in econometrics, demography, medicine, agriculture, energy, transportation, and more. The audience for the planned symposium, to be held in Washington, D.C., will come from a diverse background of users and consumers of government statistics, data, and analyses.

The objectives of the International Year of Statistics initiative and awareness campaign are to increase public understanding of the power and impact of statistics on all aspects of society, and nurture statistics as a profession, especially among high school and college students.

Organizers of the year-long effort – with than 2,000 participating organizations world-wide - note that “statistics have powerful and far-reaching effects on everyone, yet most people are unaware of their connection—from the foods they eat to the medicines they take—and how statistics improve their lives.” In Connecticut, participating organizations include the University of Connecticut and Connecticut by the Numbers.

An analysis by a specially-convened team of academic researchers to project the finish times of runners at the 2013 Boston Marathon, will be presented publicly for the first time at the New England Symposium on Statistics in Sports, to be held on September 21 at Harvard University in Cambridge, MA.

The scheduled presentations include a statistical model for predicting the finish times of individuals who were running in the 2013 Boston Marathon but were unable to complete the race when it was abruptly halted after bombs exploded near the finish line last April. That research was done at the request of the Boston Athletic Association, organizer of the Boston Marathon.

The researchers will explain how multi-year data was analyzed “to create projected times for this year's runners and discuss some features of the resulting projections.” The BAA opted not to use the statistical model that was developed and provided to the race organizers, choosing instead to use a direct extrapolation of an individual’s time at the point the race was stopped - a result that was, in most cases, more favorable to the runners than the more complex analytical model developed by the research team. Runners were provided those times within two months of the Marathon.

Just over 5,600 official entrants who were unable to cross the Boylston Street finish line on April 15 when the race was stopped at 2:50 p.m. Of those, 2,611 are from Massachusetts and 726 are international participants, according to the Boston Athletic Association. In total, residents of all 50 U.S. States (and four U.S. territories), and 47 countries are among this group.

The lead researcher was Richard L. Smith, the Mark L. Reed III Distinguished Professor of Statistics and Professor of Biostatistics at the University of North Carolina, Chapel Hill. He is also Director of the Statistical and Applied Mathematical Sciences Institute, which is supported by the National Science Foundation. Smith has previously run in the Boston Marathon, as have three members of his research team.

The researchers included Dorit Hammerling of the Statistical and Applied Mathematical Sciences Institute, Research Triangle Park, North Carolina; Matthew Cefalu and Francesca Dominici of the Department of Biostatistics, Harvard School of Public Health; Jessi Cisewski of the Department of Statistics, Carnegie Mellon University; Amy Grady of the Department of Statistics and Operations Research, University of North Carolina at Chapel Hill; Charles Paulson of Puffinware LLC, State College, PA; and Giovanni Parmigiani of the Department of Biostatistics, Harvard School of Public Health and Dana Farber Cancer Institute, Boston.

Smith said that while the BAA decision is “perfectly understandable,” the statistical model his team developed has been credited by the BAA as being helpful in their decision-making, and has both merit and validity that would be of interest to statisticians, runners and sports fans. The model has potential for future use in projecting runners’ finish times from intermediate times during the race, and the research team intends to focus their Symposium presentation on that potential.

The research team analyzed the times of individual runners from the 2010 and 2011 Marathons (2012 data was not used because the day was unusually hot, unlike 2013) at various points of the 26-mile course and developed a statistical model the projected the finish for every 2013 runner based on how similar runners finished in the previous years. Many runners, for example, tend to slow, but at differing rates, in the race’s final miles. Others have a strong finish. The “sophisticated” analysis was developed to offer a more elaborate extrapolation of what individual finish times might have been. The researchers provided the BAA with a “complete file” indicating a projected finish for each runner.

“It was an interesting challenge, and we were pleased to be asked by the BAA to work on this project,” Smith said. “Their decision makes perfect sense, but we are proud of our work and the way in which it came together.” Smith said that in addition to the first-time presentation at the Symposium, the team plans to publish their work in a professional journal.

The group of official entrants who were prevented from completing the race includes 2,983 women and 2,650 men, and ages range from 18 to 82. A month after the race, the B.A.A. announced that all of the official entrants who did not finish would be invited back to participate in the 2014 Boston Marathon, to be held on April 21. A special registration period for those individual closed last Thursday, and more than 4,500 runners have signed up. As part of a rolling registration process, registration for runners who have qualifying times opens on September 9.

The BAA has also announced that the 118th Boston Marathon field will be increased to 36,000 due to increased interest in next year’s race. Traditionally, the field numbers about 25,000. Last year, just over 400 participants from Connecticut were registered for the race. The largest field in recent years was in 1996, for the 100^th anniversary of the race, when 38,708 individuals registered.

“We understand many marathoners and qualifiers want to run Boston in 2014, and we appreciate the support and patience that the running community has demonstrated because of the bombings that occurred this past Spring,” said B.A.A. Executive Director Tom Grilk.

The conference co-chairs of the New England Symposium on Statistics in Sports are Mark Glickman and Scott Evans. Glickman is Senior Statistician at the Center for Healthcare Organization and Implementation Research and a Research Professor in the Department of Health Policy and Management at Boston University. Evans is a Senior Research Scientist in the Department of Biostatistics at Harvard’s School of Public Health. Registration is now open for the Sept. 21 symposium.