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.
Valliant, R., Dever, J.A., Kreuter, F. (2013). Practical Tools for Designing and Weighting Survey Samples. New York: Springer.
Li, Jianzhu, and Valliant, R. (2011). "Linear Regression Diagnostics for Unclustered Survey Data," Journal of Official Statistics, 27, 99-119.
Valliant, R., and Dever, J. (2011), "Estimating Propensity Adjustments for Volunteer Web Surveys," Sociological Methods and Research, 40, 105-137.
Valliant, R., and Rust, K.F. (2010), "Degrees of Freedom Approximations and Rules of Thumb," Journal of Official Statistics, 26, 585-602.
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.
Finite Population Sampling and Inference: A Prediction Approach (2000), with A.H. Dorfman and R. M. Royall, New York: John Wiley.