Appendix C
Biographical Sketches of Panel Members and Staff

Robert M. Bell (Chair) is a member of the Statistics Research Department at AT&T Labs-Research. Previously, he worked at the RAND Corporation, where he directed a number of studies on social policy issues. His research interests include analysis of data from complex samples, record linkage methods, and machine learning methods. He is a member of the board of trustees of the National Institute of Statistical Sciences. He is a fellow of the American Statistical Association, chair of its Committee on Fellows, and has served on its Census Advisory Committee. He is currently a member of the National Research Council’s Committee on National Statistics and has served on several of its panels. He has a B.S. degree in mathematics from Harvey Mudd College, an M.S. degree in statistics from the University of Chicago, and a Ph.D. in statistics from Stanford University.


Lawrence D. Brown is the Miers Busch professor in the Department of Statistics at the Wharton School at the University of Pennsylvania. His general areas of research include statistical decision theory, nonparametric function estimation, foundations of statistics, including admissibility and complete class theory, sampling theory (census data), and empirical queuing science. He is currently serving on the U.S. National Committee on Mathematics, and he is a fellow and past president of the Institute of Mathematical Statistics. He is a fellow of the American Statistical Association and the recipient of its Wilks Memorial Award. He is a member of the National Academy of Sciences, and he has served on several com-



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Appendix C Biographical Sketches of Panel Members and Staff Robert M. Bell (Chair) is a member of the Statistics Research Department at AT&T Labs­Research. Previously, he worked at the RAND Corpora­ tion, where he directed a number of studies on social policy issues. His research interests include analysis of data from complex samples, record linkage methods, and machine learning methods. He is a member of the board of trustees of the National Institute of Statistical Sciences. He is a fellow of the American Statistical Association, chair of its Committee on Fellows, and has served on its Census Advisory Committee. He is currently a member of the National Research Council’s Committee on National Statistics and has served on several of its panels. He has a B.S. degree in mathematics from Harvey Mudd College, an M.S. degree in statistics from the University of Chicago, and a Ph.D. in statistics from Stanford University. Lawrence D. Brown is the Miers Busch professor in the Department of Statistics at the Wharton School at the University of Pennsylvania. His general areas of research include statistical decision theory, nonparametric function estimation, foundations of statistics, including admissibility and complete class theory, sampling theory (census data), and empirical queuing science. He is currently serving on the U.S. National Committee on Mathematics, and he is a fellow and past president of the Institute of Mathematical Statistics. He is a fellow of the American Statistical Asso­ ciation and the recipient of its Wilks Memorial Award. He is a member of the National Academy of Sciences, and he has served on several com­ 1

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1 COVERAGE MEASUREMENT IN THE 2010 CENSUS mittees and panels of the National Research Council. He received a B.S. degree from the California Institute of Technology and a Ph.D. degree from Cornell University. Michael L. Cohen is a senior program officer for the Committee on National Statistics, currently serving as study director for this panel and the Panel on the Design of the 2010 Census Program of Evaluations and Experiments. Formerly, he was a mathematical statistician at the Energy Information Administration, an assistant professor in the School of Public Affairs at the University of Maryland, and a visiting lecturer in statis­ tics at Princeton University. His general area of research is in the use of statistics in public policy, with particular interest in census undercount, model validation, and robust estimation. He is a fellow of the American Statistical Association. He received a B.S. degree in mathematics from the University of Michigan and M.S. and Ph.D. degrees in statistics from Stanford University. Roderick Little is the Richard Remington Collegiate professor of bio­ statistics at the University of Michigan, where he also holds appoint­ ments in the Department of Statistics and the Institute for Social Research. He was previously a professor in the Department of Biomathematics in the School of Medicine at the University of California at Los Angeles, an American Statistical Association/Census Bureau/National Science Foundation research fellow at the Census Bureau, and a scientific associ­ ate at the World Fertility Survey. His research interests include statis­ tical methods for missing data and survey research methodology. He has served as coordinating and applications editor of the Journal of the American Statistical Association. He is a fellow of the American Statistical Association and has received its Wilks Memorial Award. He is a national associate of the National Academy of Sciences and has served on many committees and panels of the National Research Council. He received a B.A. degree in mathematics from Cambridge University and M.Sc. and Ph.D degrees in statistics from Imperial College of Science and Tech­ nology of London University. Xiao-Li Meng is chair of and a professor in the Department of Statistics at Harvard University. Previously, he was a professor of statistics at the University of Chicago and a faculty research associate at the National Opinion Research Center. He has served as editor of Bayesian Analysis, as an associate editor of Biometrika, the Journal of the American Statistical Association and the Annals of Statistics, and is co­editor of Statistica Sinica. He is a recipient of the 2001 award from the Committee of Presidents of Statistical Associations for outstanding statistician under the age of 40. He

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1 APPENDIX C is a fellow of the Institute of Mathematical Statistics and of the American Statistical Association. He is an expert on Bayesian methods and methods for missing data. He received a B.S. degree in mathematics from Fudan University in Shanghai, China, and M.A. and Ph.D. degrees in statistics from Harvard University. Jeffrey Passel is a senior research associate at the Pew Hispanic Center. He is an expert on immigration to the United States and the demography of racial and ethnic groups. He formerly served as principal research asso­ ciate at the Labor, Human Services and Population Center of the Urban Center. Prior to that, he was a demographer at the U.S. Census Bureau, including service as assistant division chief for population estimates, and he received the Bronze Medal from the U.S. Department of Commerce. He is a fellow of the American Association for the Advancement of Sci­ ence and of the American Statistical Association. He is a recipient of the Demographic Diamond as one of the five demographers/social scientists selected by American Demographics as the most representative of influen­ tial work in the last 25 years. He has authored numerous studies on immi­ grant populations in America, focusing on such topics as undocumented immigration, the economic and fiscal impact of the foreign born, and the impact of welfare reform on immigrant populations. He received a B.S. degree in mathematics from the Massachusetts Institute of Technology, an M.A. degree in sociology from the University of Texas, and a Ph.D. degree in social relations from Johns Hopkins University. Donald Ylvisaker is emeritus professor of statistics at the University of California at Los Angeles, having previously been on the faculties of Columbia University, New York University, and the University of Washington. His primary research interest is in the design of experi­ ments; his applied interests have developed as a consulting statistician, frequently on legal matters. In 1990–1991 he held a joint statistical agree­ ment with the Census Bureau under which he reviewed the Census Bureau’s 1986 test of adjustment­related operations in Los Angeles, and he also served on the Advisory Panel to the Committee on Adjustment of Postcensal Estimates in 1992. He was an associate editor of a special issue of the Journal of the American Statistical Association on census methods. He is a fellow of the American Statistical Association and of the Institute of Mathematial Statistics. He received a Ph.D. degree in statistics from Stanford University. Alan Zaslavsky is a professor in the Department of Health Care Policy (Statistics) at Harvard Medical School. His methodological interests include surveys, census methodology, microsimulation models, missing

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160 COVERAGE MEASUREMENT IN THE 2010 CENSUS data, hierarchical modeling, small­area estimation, and applied Bayesian methodology. His health services research focuses primarily on developing methodology for quality measurement of health plans and understanding their implications. Another area in which he has contributed is methodol­ ogy for measuring racial and ethnic disparities in health care delivery and determining their causes. He has written extensively on issues concerning the decennial census, including weighting and administrative records. He has served on the Census Advisory Committee on Adjustment of Postcensal Estimates and he has served on several panels of the National Research Council. He is a fellow of the American Statistical Association. He received an M.S. degree in mathematics from Northeastern Univer­ sity and a Ph.D. degree in applied mathematics from the Massachusetts Institute of Technology.