(LUCA), the Participants Statistical Areas Program, and the 2010 Count Review Program, including a review of housing units and group quarters. Prior to joining the State Data Center, she worked in a number of urban and regional planning agencies. She has a B.A. in urban studies and geography from the University of Pittsburgh.

DAVID DOLSON is director of the Social Survey Methods Division at Statistics Canada, where he is responsible for all statistical and survey methods in support of the Census of Population, including the program of postcensal surveys, the Geography Division, and the demographic statistics program. He also oversees the Statistical Consultation Group, the Questionnaire Design Resource Centre, and the Data Analysis Resource Centre. He directs the development, testing, evaluation, and implementation of statistical and survey methods, using a variety of data collection modes, including supplementing questionnaire data with information obtained from administrative records. He consulted with the U.S. Census Bureau staff on the Reverse Record Check methodology for census coverage measurement and participated in expert workshops on the U.S. census coverage measurement program and coverage improvement options for the 2020 U.S. census. He has a master of mathematics degree in statistics from the University of Waterloo.

RALPH FOLSOM is chief scientist at RTI, with expertise in complex sample design and analysis, small-area estimation, missing data imputation, and survey weight adjustment. Working on the National Survey on Drug Use and Health (NSDUH), which is based on a sample of individuals living in both households and group quarters, he initiated innovative weight adjustment methods based on his logistic response propensity and exponential poststratification models. He has also introduced model-based imputations for missing frequency of use and income data items, and he has been an influential collaborator in the development of the NSDUH current Predictive Mean Neighborhoods imputation methodology. He has recently led RTI’s work in small-area estimation research, including the NSDUH team that developed small-area estimates for drug use, dependency, and treatment or treatment need for selected states and metropolitan areas. At the National Research Council, he served on the Panel to Evaluate the Survey of Income and Program Participation; he is a fellow of the American Statistical Association. He has an M.S. in statistics from Iowa State University and a Ph.D. in biostatistics from the University of North Carolina.

RACHEL HARTER is Senior Fellow at the National Opinion Research Center at the University of Chicago. She developed and evaluated alternative substate estimators using the Current Employment Statistics (CES) survey, which collects data each month on unemployment, hours, and earnings from a sample of nonfarm establishments. This included analyses of the similarities and differences between the CES program and related programs of the Bureau of Labor Statistics, investigated differences in program scope and coverage, empirically compared data series to determine the best auxiliary variable, conducted simulations of various estimators, supervised research on estimators for small domains, and supervised the development and enhancement of a small-domain estimation system for Illinois. Her current projects include work on the Survey of Doctorate Recipients for the National Science Foundation and the Residential Energy Consumption Survey for the Energy Information Agency. She is council of sections representative to the Survey Research Methods Section of the American Statistical Association

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