Richard Valliant
Research Professor, ISR and JPSM, University of Maryland
Valliant received a PhD in biostatistics from Johns Hopkins University. His current research interests include the use of models in survey estimation, price index estimation, and analysis of complex survey data. He has over 25 years of practical survey experience, including work on the Consumer Price Index, Producer Price Index, and other surveys that supply some of the nation's important economic indicators. He is a fellow of the American Statistical Association and has served on the editorial boards of three statistical journals.
Selected Publications:
Lee, S. and Valliant, R. (2009). "Estimation for volunteer panel web surveys using propensity score adjustment and calibration adjustment." Sociological Methods & Research. 37(3): 319-343.
Li, J. and Valliant, R. (2009), "Survey Weighted Hat Matrix and Leverages," accepted by Survey Methodology.
Dever, J., Rafferty, A., and Valliant, R. (2008), "Internet Surveys: Can Statistical Adjustments Eliminate Coverage Bias?" Survey Research Methods, 2, 47-60.
"The Effect of Multiple Weight Adjustments on Variance Estimation" (2004), Journal of Official Statistics, 20, 1-18.
"Variance Estimation for the General Regression Estimator" (2002), Survey Methodology, 28, 103-114.
Finite Population Sampling and Inference: A Prediction Approach (2000), with Alan H. Dorfman and Richard M. Royall, New York: John Wiley.