Biographical Information

WILLIAM EDDY (Chair) is Professor of Statistics at Carnegie Mellon University. Eddy 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 IEEE Computer Society, the International Association for Statistical Computing, and the International Statistical Institute. He is a member of the Committee on National Statistics and has also been a member of several National Research Council panels and committees, including the Committee on Applied and Theoretical Statistics. He holds a Ph.D. in Statistics from Yale University.

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 currently serves on the editorial board of the Industrial and Labor Relations Review, and has been an associate editor of the Quarterly Journal of Economics and an assistant editor of the Brookings Papers on Economic Activity. 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 received her Ph.D. in economics from Harvard University in 1982 and her B.S. from Iowa State University in 1976. Iowa State University awarded her an honorary doctorate in 2002.

ROBERT BELL is a statistician AT&T Labs-Research. He previously worked at the RAND Corporation where he studied a variety of social policy issues including adolescent drug use, care for depression in managed-care organizations, and the effects of affirmative action on practice patterns of physicians. His research interests include survey research methods, analysis of data from complex samples, record linkage methods, and analysis of missing data. Dr. Bell earned a B.S. in Mathematics from Harvey Mudd College, an M.S. from the University of Chicago and his Ph.D. from Stanford University both in Statistics. He is a fellow of the American Statistical Association.

LAWRENCE D. BROWN is the Miers Busch Professor of the Department of Statistics at the Wharton School of the University of Pennsylvania. Previously he held faculty positions at Cornell University, Rutgers University and the University of California, Berkeley. Brown is a renowned theoretical statistician. His primary area of research interest is mathematical statistics, in particular, statistical decision theory, complete class theorems, admissibility and minimaxity of estimators and tests, sequential analysis, and the foundations of statistics (properties of conditionality and ancillarity). In addition he has conducted more directly applicable research in sampling theory related to conduct of the US Census and in empirical queueing theory as related to telephone call centers. He is a member of the National Academy of Sciences and a recipient of the Wilks Award of the American Statistical Association. He is currently a member of the CNSTAT Panel to Review the 2000 Census and Chair of the CNSTAT panel on Research and Development Statistics at the National Science Foundation. He received a B.S. from California Institute of Technology and a Ph.D. from Cornell University.

ROBERT M. GROVES is Director of the University of Michigan Survey Research Center, Professor of Sociology at the University of Michigan, Senior Research Scientist at its Institute for Social Research, and Research Professor at the Joint Program in Survey Methodology, at the University of Maryland. From 1990-92 he was an Associate Director of the U.S. Census Bureau, on loan from Michigan. From 1992-2001 we was the associate director, then director of the Joint Program in Survey Methodology, a consortium of the University of Maryland, University of Michigan, and Westat, Inc. sponsored by the Federal statistical system. He is the author of Survey Errors and Survey Costs (Wiley, 1989); (with M. Couper) of Nonresponse in Household Interview Surveys (Wiley, 1998); (with R. Kahn) of Surveys By Telephone (Academic Press, 1979); chief editor of Telephone Survey Methodology (Wiley, 1988); a co-editor of Measurement Errors in Surveys (Wiley, 1991); chief editor of Survey Nonresponse (Wiley, 2002), and an author of many journal articles in survey methodology. He has over twenty-five years of experience with large scale surveys. He has investigated the impact of alternative telephone sample designs on precision, the effect of data collection mode on the quality of survey reports, causes and remedies for nonresponse errors in surveys, estimation and explanation of interviewer variance in survey responses, and other topics in survey methods. His current research interests focus on theory-building in survey participation and models of nonresponse reduction and adjustment. Groves has an A.B. degree from Dartmouth College and a Ph.D. from the University of Michigan. He is a fellow of the American Statistical Association, an elected member of the International Statistical Institute, former President of the American Association for Public Opinion Research, former Chair of the Survey Research Methods Section of the American Statistical Association, and a winner of the 2000 AAPOR Innovator Award. In 2001 Groves was awarded the distinguished achievement award, the AAPOR award, by the association.

PAUL HOLLAND, Ph.D., holds the Frederic M. Lord Chair in Measurement and Statistics and is acting director of the Center for Statistical Theory and Practice at the Educational Testing Service. His educational background includes a M.A. and a Ph.D. in Statistics from Stanford University, 1966, and a B.A. in Mathematics from the University of Michigan, 1962. His association with ETS began in 1975 as Director of the Research Statistics Group. In 1986 Holland was appointed ETS's first Distinguished Research Scientist. He left ETS in 1993 to join the faculty at University of California Berkeley as a professor in the Graduate School of Education and Department of Statistics, but returned in 2000 to his current position at ETS. His research interests include psychometrics, causal inference of educational interventions in non-experimental studies; multivariate analysis and the explanation of score scales. His knowledge of data collection and analysis will be useful in developing rich models of the characteristics of research-doctorate programs.

JOEL L. HOROWITZ is the Charles E. and Emma H. Morrison Professor of Economics at Northwestern University. He has had previous positions at the University of Iowa and the U.S. Environmental Protection Agency. His primary area of research is in theoretical and applied econometrics, with particular concentrations in semiparametric estimation, bootstrap methods, discrete choice analysis, and estimation and inference with incomplete data. He received his B.S. in physics from Stanford University and his Ph.D. in physics from Cornell University. He is the author of the books Semiparametric Methods in Econometrics and Air Quality Analysis for Urban Transportation Planning. He is co-editor of Econometrica and the former co-editor of Econometric Theory. He is an elected Fellow of the Econometric Society, a winner of the Richard Stone Prize in Applied Econometrics, and a recipient of the Alexander von Humboldt Award for Senior U.S. Scientists.

DOUGLAS S. MASSEY received his Ph.D. in 1978 from Princeton University and has served on the faculties of the University of Chicago, the University of Pennsylvania, and is currently Professor of Sociology and Public Affairs at Princeton. His research focuses on international migration, race and housing, discrimination, education, urban poverty, and Latin America, especially Mexico. He is the author, most recently, of Beyond Smoke and Mirrors: Mexican Immigration in an Age of Economic Integration, and Source of the River: The Social Origins of Freshmen at America's Selective Colleges and Universities. He is a member of the National Academy of Sciences, the American Academy of Arts and Sciences, and the American Philosophical Society, and is Past-President of the American Sociological Association and the Population Association of America.

VIJAYAN NAIR (Vijay) is the Donald A. Darling Professor of Statistics and Professor of Industrial & Operations Engineering at the University of Michigan, Ann Arbor. He has been Chair of the Department of Statistics since 1998. Previously, he was a research scientist at Bell Laboratories in New Jersey for 15 years. He received his Bachelor’s degree in Economics from the University of Malaya, Malaysia and his Ph.D. in Statistics from the University of California at Berkeley. He is a fellow of the American Association for the Advancement of Science, 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 served as editor of Technometrics from 1990-92 and joint-editor of International Statistical Review from 1996-99. His research interests include industrial statistics, design of experiments, reliability, and quality improvement. He currently serves on the CNSTAT panel on Operational Test Design and Evaluation of the Interim Armored Vehicle.

DARYL PREGIBON is Head of the Statistics Research Department at AT&T Shannon Labs. He served on the Committee of Applied and Theoretical Statistics from 1993-1998, chairing that committee from 1996-1998. He received his Ph.D. in statistics from the University of Toronto. He is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. His research interests include expert systems for data analysis, data visualization, and large-scale data analysis (sometimes called data mining).

KENNETH PREWITT is the Carnegie Professor of Public Affairs, School of International and Public Affairs at Columbia University. Previous positions include: Director of the United States Census Bureau, President of the Social Science Research Council, Senior Vice President of the Rockefeller Foundation, and Director of the National Opinion Research Center. He taught for fifteen years at the University of Chicago, and for shorter periods, at Stanford University (where he received his Ph.D.), Washington University, the University of Nairobi, and Makerere University (Uganda). Among his awards are a Guggenheim Fellowship, honorary degrees from Carnegie Mellon and Southern Methodist University, a Distinguished Service Award from the New School for Social Research, and The Officer’s Cross of the Order of Merit from the Federal Republic of Germany, and various awards associated with his Directorship of the Census Bureau. He is a Fellow of the American Academy of Arts & Sciences, the Center for Advanced Study in the Behavioral Sciences, the Academy of Political and Social Science, the Russell-Sage Foundation and the American Association for the Advancement of Science. Dr. Prewitt is presently writing two books on the census, one describing the history, politics, and operations of the U. S. census and the other (with Norman Nie) an account of the civic mobilization effort that improved levels of public cooperation in Census 2000.

LOUISE M. RYAN is Professor of Biostatistics at the Harvard School of Public Health.  She works on statistical methods related to environmental risk assessment for cancer, developmental and reproductive toxicity, and other non-cancer endpoints such as respiratory disease. She also works on statistical methods for clinical trials, in particular, survival analysis techniques for competing risk data, and on epidemiological methods for the study of birth defects and adverse reproductive outcomes. A special interest is the analysis of multiple outcomes as they occur in these applied settings. Recently, Dr. Ryan has developed interests in community-based environmental health research as well as spatial statistics and GIS.

Dr. Ryan is a fellow of the American Statistical Association and the International Statistics Institute. She has served in a number of professional capacities, including co-editor of Biometrics and President of the Eastern North American Region of the International Biometric Society. She has served on advisory boards for several government agencies, including the National Toxicology Program and the Environmental Protection Agency, as well as several committees for the National Academies.

NORA CATE SCHAEFFER is Professor of Sociology at the University of Wisconsin-Madison. Professor Schaeffer's research interests include identifying ways to improve the design of measurement instruments to obtain more accurate answers and examining the interaction between the interviewer and respondent in standardized survey interviews. She has served on the editorial boards for Public Opinion Quarterly, Sociological Methods and Research, and Sociological Methodology. She has taught questionnaire design at the Summer Institute of the Survey Research Center at the University of Michigan and through the University of Michigan-University of Maryland Joint Program in Survey Methodology.