Distinguished Fellow, Statistics
- Research Triangle Park, NC
download imagePaul P. Biemer
Expertise
Survey Design and Analysis
General Survey Methodology
Nonsampling Error Modeling and Evaluation
Biography
Paul Biemer, PhD, Distinguished Fellow in statistics, appointed November 2002, has 29 years of postdoctoral experience in survey methods and statistics. He joined RTI in 1991, serving as director of the survey methods program until 1994 and of the Center for Survey Methods and Research from 1994 to 2000. Dr. Biemer's scientific contributions to survey methodology and statistics include developing methodologies for using computer audio-recorded interviewing, using latent class analysis as a survey error evaluation tool, and applying continuous quality improvement to the coding of industry and occupation question responses. He holds a joint appointment with the Odum Institute for Research in Social Sciences at the University of North Carolina at Chapel Hill where he is associate director for survey research and director of the certificate program in survey methodology. He has written five books, 35 peer-reviewed publications, 17 book chapters, and numerous papers and presentations.
Education
PhD, Statistics, Texas A&M University; MS, Statistics, Texas A&M University; BS, Mathematics, Texas A&M University.
Selected Publications
Biemer, P., & Brown, G. (June 2005). Model-based estimation of drug use prevalence using item count data. Journal of Official Statistics, 21 (2):287-308.
Biemer, P. (2004). An analysis of classification error for the revised current population survey employment questions. Survey Methodology, 30 (2):127-140.
Biemer, P., Folsom, R., Kulka, R., Lessler, J., Shah, B., & Weeks, M. (2003). An evaluation of procedures and operations used by the Voter News Service for the 2000 presidential election. Public Opinion Quarterly, 67 (1):32-44.
Biemer, P.P., & Lyberg, L.E. (2003). Introduction to Survey Quality. Wiley Series in Survey Methodology. Hoboken, NJ: John Wiley & Sons, Inc.
Biemer, P.P., & Wiesen, C. (2002). Measurement error evaluation of self-reported drug use: a latent class analysis of the US National Household Survey on Drug Abuse. Journal of the Royal Statistical Society. Series A (Statistics in Society), 165:97-119.
Biemer, P.P. (2001). Nonresponse bias and measurement bias in a comparison of face to face and telephone interviewing. Journal of Official Statistics, 17 (2):295-320.
Biemer, P., & Caspar, R.A. (1994). Continuous quality improvement for survey operations: some general principles and applications. Journal of Official Statistics, 10 (3):307-326.
Biemer, P.P., & Forsman, G. (1992). On the quality of reinterview data with applications to the current population survey. Journal of the American Statistical Association, 87 (420):915-923.
Biemer, P.P., Groves, R.M., Lyberg, L.E., Mathiowetz, N.A., & Sudman, S. (Ed.). (1991). Measurement Errors in Surveys. New York, NY: John Wiley & Sons, Inc.
Biemer, P.P., & Stokes, S.L. (March 1985). Optimal design of interviewer variance experiments in complex surveys. Journal of the American Statistical Association, 80 (389):158-166.