Richard Valliant received a PhD in biostatistics from Johns Hopkins University. His current research interests include the use of models in survey estimation, sample design problems, and analysis of complex survey data. He has over 35 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.
Audit sampling, uses of Auxiliary Variables for Survey Estimation and Operations, Methods for Repairing Nonresponse Error, Statistical Software, Estimation from nonprobability samples.
Valliant, R., and Dever, J.A. (2018). Survey Weights: A Step-by-step Guide to Calculation. College Station TX: Stata Press.
Valliant, R., Dever, J., and Kreuter, F. (2018). Practical Tools for Designing and Weighting Survey Samples, 2nd edition, New York: Springer
Valliant, R. Dorfman, A., and Royall, R.M. (2000), Finite Population Sampling and Inference: A Prediction Approach. New York: John Wiley.
Elliott, M.R. and Valliant, R. (2017). Inference for Nonprobability Samples, Statistical Science, 32, 249-264.
Dever, J.A., and Valliant, R. (2016). General Regression Estimation Adjusted for Undercoverage and Estimated Control Totals, Journal of Survey Statistics and Methodology, 4, 289-318.
Current Research Projects
No current funding