COMMITTEE ON NATIONAL STATISTICS
(2007-2008)

William Eddy (Chair) Department of Statistics, Carnegie Mellon University	2004-10
Katharine G. Abraham Joint Program in Survey Methodology, University of Maryland	2004-10
William DuMouchel Lincoln Technologies, Inc, Waltham, MA	2006-09
John Haltiwanger Department of Economics, Northwestern University	2004-10
V. Joseph Hotz Department of Economics, University of California, Los Angeles	2006-09
Karen Kafadar Department of Math Sciences, University of Colorado, Denver	2006-09
Douglas S. Massey Department of Sociology and Public Policy, Princeton University	2004-10
Sally C. Morton Statistics and Epidemiology, RTI International	2007-10
Vijayan Nair Department of Statistics and Department of Industrial and Operations Engineering, University of Michigan-Ann Arbor	2002-08
Joseph Newhouse Division of Health Policy Research and Education, Harvard University	2006-09
Samuel Preston Population Studies Center, University of Pennsylvania	2005-08
Kenneth Prewitt School of International and Public Affairs, Columbia University	2003-08
Louise M. Ryan Department of Biostatistics, Harvard School of Public Health	2004-10
Roger Tourangeau Joint Program in Survey Methodology, University of Maryland	2007-10
Alan Zaslavsky Department of Health Care Policy, Harvard Medical School	2006-09

William Eddy (chair) is John C. Warner professor of statistics, machine learning, and biological sciences at Carnegie Mellon University. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics; a past member of the Board of Directors of the American Statistical Association and the American Federation of Information Processing Societies; and a member of the International Association for Statistical Computing, and the International Statistical Institute. In addition to serving on the Committee on National Statistics, he has been a member of several CNSTAT panels, the Committee on Applied and Theoretical Statistics (chair), and the Committee on Assessing the Feasibility, Accuracy, and Technical Capability of a National Ballistics Database. He has done consulting work for Merck & Co., the Energy Information Administration, Bell Communications Research, and the National Institutes of Health, among other clients. He holds a Ph.D. in statistics from Yale University.

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Katharine G. Abraham is professor of survey methodology and adjunct professor of economics at the University of Maryland. She was commissioner of the Bureau of Labor Statistics from 1993 to 2001. Prior to her tenure at the BLS, she taught at the University of Maryland and the Sloan School of Management at the Massachusetts Institute of Technology, and was a research associate at the Brookings Institution. She is a research associate of the National Bureau of Economic Research and a member of the American Economic Association, the National Association for Business Economics, the Industrial Relations Research Association, and the Committee on the Status of Women in the Economics Profession. She chaired the CNSTAT panel on the design of nonmarket accounts. She received her Ph.D. in economics from Harvard University. Iowa State University awarded her an honorary doctorate in 2002.

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William DuMouchel is vice president and chief research statistical scientist at Lincoln Technologies.  He received his Ph.D. in statistics from Yale University.  He has served on the Committee on Privacy and Technical Aspects of Information for Terrorism Prevention and Other Goals; the Committee on Applied and Theoretical Statistics; and the Committee on Postmarket Surveillance of Pediatric Medical Devices.  Dr. DuMouchel previously served Lincoln Technologies as Director and Senior Advisor. Dr. DuMouchel has held both industry and academic appointments, most recently as senior statistician at AT&T Labs-Research. He was Professor of Biostatistics and Medical Informatics at Columbia University from 1994 to 1996, and from 1987 to 1992 was Chief Statistical Scientist at Bolt Beranek Newman, Inc. Dr. DuMouchel has also served on the faculties of the University of California at Berkeley, the University of Michigan, and the Massachusetts Institute of Technology

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John Haltiwanger is a professor of economics at the University of Maryland.  Previously, he served as chief economist at the Census Bureau.  He currently serves as a research associate at the Center for Economic Studies at the Census Bureau and at the National Bureau of Economic Research.  His recent research has exploited the newly created longitudinal establishment and employer-employee matched data bases that have been developed at the Census Bureau.  This research centers on the process of job and worker reallocation, retooling and restructuring in the U.S. economy, and the connection of these factors to the business cycle and productivity growth.  He received his Sc.B. in applied mathematics-economics from Brown University and his Ph.D. in economics from The Johns Hopkins University.  He is the author of the books Job Creation and Destruction and Labor Statistics Measurement Issues. He is a member of the American Economic Association, Econometric Society, and the American Statistical Association.  He serves on the editorial board of Small Business Economics, the Journal of Evolutionary Economics, and the Journal of Macroeconomics.

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V. Joseph Hotz is professor of economics at Duke University. Previously, he served as professor and chair of the Department of Economics at the University of California, Los Angeles. He also served as chair, Oversight Board, California Census Research Data Center, and is a research associate of the National Bureau of Economic Research and the California Center for Population Research and a research affiliate of the Institute for Research on Poverty and the National Poverty Center. Dr. Hotz received his Ph.D. in economics from the University of Wisconsin. His research interests are in labor economics, economic demography, and evaluation of the impact of social programs. Dr. Hotz has served on several CNSTAT panels, including those on the Census Bureau’s Re-engineered SIPP, and Access to Research Data: Balancing Risks and Opportunities.

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Karen Kafadar is professor of statistics and chancellor's scholar in the Department of Mathematical Sciences and the Department of Preventive Medicine & Biometrics at the University of Colorado at Denver and Health Sciences Center. She received her Ph.D. in statistics from Princeton. Her research focuses on robust methods, data analysis, and characterization of uncertainty in the physical, chemical, biological, and engineering sciences. Previous appointments include the National Institute of Standards and Technology (where she continues her work presently as Guest Faculty Visitor on problems involving measurement accuracy, experiment design and analysis, and standard reference materials), Hewlett Packard Company (R&D laboratory for RF/Microwave test equipment), and the National Cancer Institute (Division of Cancer Prevention, Cancer Screening Section). At the University of Colorado, she directs the Statistical Consulting Service, collaborates with researchers in the School of Medicine, and teaches courses in applied and theoretical statistics. She has served on several editorial review boards as editor or associate editor and on governing boards for the American Statistical Association, the Institute of Mathematical Statistics, and the International Statistical Institute. She has served on several Academies panels and is currently chair of the Committee on Applied and Theoretical Statistics.

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Douglas S. Massey is Henry G. Bryant professor of sociology and public affairs at Princeton University. He is president of the American Academy of Political and Social Science and an elected member of the American Academy of Arts and Sciences, the American Philosophical Society, the American Sociological Association, the Population Association of America, and the Sociological Research Association. He was elected to the National Academy of Sciences in 1998, and has served on the Committee on Population, the Panel on Methods for Assessing Discrimination, and the Panel on Population Projections. He is principal investigator of a grant from the National Institute of Child Health and Human Development on Public Use Data on Mexican Immigration and a grant from the Andrew W. Mellon Foundation on the National Longitudinal Survey of Freshmen at Selective Colleges and Universities.

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Sally Morton is vice president for statistics and epidemiology at RTI International, and is an adjunct professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill. She is the 2008 president-elect of the American Statistical Association. Previously, she was head of the RAND Corporation Statistics Group and held the RAND endowed chair in statistics. From 1997 to 2005, she was co-director of the Southern California Evidence-based Practice Center. Her methodological interests include the use of meta-analysis in evidence-based medicine, the sampling of vulnerable populations, and statistical methods for health services research. She is an editor of Statistical Science and served as an associate editor for the Journal of the American Statistical Association and the Journal of Computational and Graphical Statistical. Dr. Morton is a fellow of the American Statistical Association and of the American Association for the Advancement of Science.

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Vijayan Nair is Donald A. Darling professor of statistics and professor of industrial and operations engineering, as well as, chair of the statistics department at the University of Michigan. He is a fellow of the American Association for the Advancement of Science, the American Statistical Association, and the Institute of Mathematical Statistics; an elected member of the International Statistical Institute; and a senior member of the American Society for Quality. He has served as editor of Technometrics and joint-editor of the International Statistical Review. He is a member of the Committee on Assessing the Feasibility, Accuracy, and Technical Capability of a National Ballistics Database, as well as, the Panel on the Design of the 2010 Census Program of Evaluations and Experiments. He has also chaired the Oversight Committee for the Workshop on Testing for Dynamic Acquisition of Defense Systems. He is the co-investigator of a study of the Michigan Center for Health Communications Research supported by a grant from the National Cancer Institute. He participated in a post-mortem analysis of quality problems at Chrysler.

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Joseph Newhouse is John D. MacArthur professor of health policy and management, Malcolm Wiener Center for Social Policy, Kennedy School of Government, Harvard University. He is a faculty research associate of the National Bureau of Economic Research. He received a Ph.D. degree in economics from Harvard University. Dr. Newhouse spent the first twenty years of his career at RAND, where he designed and directed the RAND Health Insurance Experiment, a project that ran from 1971 to 1988 that studied the consequences of different ways of financing medical services. From 1981 to 1985 he was head of the RAND Economics Department. His expertise is in health care financing, health research policy, health services research, health care quality and outcomes, and general health economics. Dr. Newhouse is a member of the Institute of Medicine and chairs CNSTAT’s Panel to Oversee a Research Program on the Design of National Accounts.

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Samuel H. Preston is Fredrick J. Warren professor of demography in the Population Studies Center at the University of Pennsylvania. He is a member of the National Academy of Sciences, the Institute of Medicine, and the American Philosophical Society and a fellow of the American Academy of Arts and Sciences, the American Association for the Advancement of Science, and the American Statistical Association. He was president of the Population Association of America in 1984. At the National Academies, he has served on numerous committees and panels, including the Report Review Committee, the Committee on Population, and the Committee on Science, Engineering, and Public Policy, as well as ones on international graduate students and postdoctoral scholars in the United States, retirement income modeling, vitamin A deficiency prevention and control, and population growth and economic development. He is the recipient of a grant from the Population Aging Research Center/Boettner Institute to study changing sex differentials in mortality at older ages in the United States. His research has touched on a number of controversial topics, including the economic consequences of population growth, the relative well-being of children and the elderly, and the health hazards of cigarette smoking (and was attacked by the tobacco industry). He has testified before Congress in favor of census adjustment and still favors a form of it.

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Kenneth Prewitt is Carnegie professor of public affairs of the Department of International and Public Affairs at Columbia University. He is a fellow of the American Academy of Arts and Sciences, the Academy of Political and Social Science, the Russell Sage Foundation, and the American Association for the Advancement of Science and a member of the Council on Foreign Relations. He was the director of the U.S. Census Bureau from 1998 to 2001, during the 2000 decennial census, and has written and testified before Congress on public confidence in the census and, more generally, on Census 2000 as a major civic event. He has served on several National Academies activities and is currently chair of the Committee on Social Science Evidence for Use.

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Louise M. Ryan is professor and chair of the Department of Biostatistics at the Harvard School of Public Health and the Dana-Farber Cancer Institute. She is a fellow of the American Statistical Association, an elected member of the International Teratology Society and the International Statistics Institute, and a member of the International Biometrics Society and the American Public Health Association. At the National Academies, her service includes committees and panels on environmental decision making, arsenic in drinking water, and mercury, as well as the Board on Environmental Studies and Toxicology. She is the principal investigator of a study of biostatistical topics in carcinogenicity and teratology supported by a grant from the National Institutes of Health.

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Roger Tourangeau is director of the Joint Program in Survey Methodology at the University of Maryland and a senior research scientist at the University of Michigan.  He has been a survey researcher for more than 20 years.  His research focuses on attitude and opinion measurement and on differences across methods of data collection; he also has extensive experience as an applied sampler. Dr. Tourangeau is well known for his work on the cognitive aspects of survey methodology and is the lead author of The Psychology of Survey Responses (2000, Cambridge University Press).  Before joining JPSM and SRC, he was a senior methodologist at the Gallup Organization, where he designed and selected samples and carried out methodological studies.  Before that, he was at the National Opinion Research Center, where he founded and directed the Statistics and Methodology Center. There he carried out methodological studies and developed and executed sample designs for many federal and academic surveys.  Named a fellow of the American Statistical Association in 1999, he has served on the editorial board of Public Opinion Quarterly and on the Census Joint Advisory Panel as member and later chair of the ASA Subcommittee. He has a Ph.D. in psychology from Yale University.

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Alan Zaslavsky is professor of statistics in the Department of Health Care Policy, Harvard Medical School.  He has served on the Panel on Coverage Measurement, the Panel to Evaluate Alternative Census Methods, the Panel on Alternative Census Methodologies, the Panel on Estimates of Poverty for Small Geographic Areas, the Committee on the National Quality Report on Health Care Delivery (IOM), the Panel on Research on Future Census Methods, and the Panel on DHHS Collection of Race and Ethnicity Data.  He is a fellow of the American Statistical Association.  He is an expert in survey methodology, missing data methods, and census methodology. He received his Ph.D. in applied mathematics (statistics specialty) from the Massachusetts Institute of Technology in 1989, his M.S. in mathematics (statistics and computer science specialties) from Northeastern University in 1984, and his A.B. from Harvard College (government) in 1969.

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