Sharon Lohr, Recent Publications

• Broatch, J.E. and Lohr, S. (2011). Multidimensional assessment of value added by teachers to real-world responses. Accepted by Journal of Educational and Behavioral Statistics.

 
• Lohr, S. (2011). Alternative survey sample designs: Sampling with multiple overlapping frames. Accepted by Survey Methodology.

 
• Mendez, G. and Lohr, S. (2011). Estimating residual variance in random forest regression. Computational Statistics and Data Analysis, 55, 2937-2950.

 
• Lohr, S. (2010). The 2009 Morris Hansen Lecture: The Care, Feeding, and Training of Survey Statisticians. Journal of Official Statistics, 26, 395-409.

 
• Lu, Y. and Lohr, S. (2010). Gross flow estimation in dual frame surveys. Survey Methodology, 36, 13-22. Also available in French: L'estimation des flux bruts dans les enquêtes à base de sondage double.

 
• Jenney, B. and Lohr, S. (2009). Experimental designs for multiple-level responses, with application to a large-scale educational intervention. Annals of Applied Statistics, 3, 691-709.

 
• Lohr, S. and Rao, J. N. K. (2009). Jackknife estimation of mean squared error of small area predictors in nonlinear mixed models, Biometrika, 96, 457-468.

 
• Lohr, S. (2009). Multiple frame surveys. Handbook of Statistics, Vol. 29A, Sample Surveys: Design, Methods and Applications, ed. D. Pfeffermann and C. R. Rao. Amsterdam: North Holland, 71-88.

 
• Lohr, S. (2009). Sampling and survey design. Handbook of Statistics, Vol. 29A, Sample Surveys: Design, Methods and Applications, ed. D. Pfeffermann and C. R. Rao. Amsterdam: North Holland, 3-8.

 
• Ybarra, L. M. R. and Lohr, S. (2008). Small area estimation when auxiliary information is measured with error, Biometrika, 95, 919-931.

 
• Lohr, S. (2008). Coverage and sampling, chapter 6 of International Handbook of Survey Methodology, ed. E. deLeeuw, J. Hox, D. Dillman. New York: Erlbaum, 97-112.

 
• Mendez, G., Buskirk, T., Lohr, S., and Haag, S. (2008). Factors associated with persistence in science and engineering majors: An exploratory study using random forests. Journal of Engineering Education, 97, 57-70.

 
• Lohr, S. (2007). Comment: Struggles with survey weighting and regression modeling. Statistical Science, 22, 175-178.

 
• Alf, C. and Lohr, S. (2007). Sampling assumptions in introductory statistics classes. The American Statistician, 61, 71-77.

  R function used in Alf and Lohr (2007)
 
• Lohr, S. (2007). Recent developments in multiple frame surveys. Proceedings of the Survey Research Methods Section, American Statistical Association, 3257--3264.

 
• Lohr, S. (2007). Discussion of papers on resampling methods in small area estimation. Proceedings of the Survey Research Methods Section, American Statistical Association, 3265-3267.

 
• Jenney, B. and Lohr, S. (2007). Choice of randomized design in large-scale education experiments. Proceedings of the Social Statistics Section, American Statistical Association, 3638-3645.

 
• Lohr, S. and Rao, J.N.K. (2006). Estimation in multiple-frame surveys. Journal of the American Statistical Association, 101, 1019-1030.

 
• Prewitt, K. and Lohr, S. (2006). Bandwidth selection in local polynomial regression using eigenvalues. Journal of the Royal Statistical Society, Series B, 68, 135-154.

 
• Sylvester, D. and Lohr, S. (2005). Counting on confidentiality: Legal and statistical approaches to federal privacy law after the USA PATRIOT act. Wisconsin Law Review, 1036-1138.

 
• Sylvester, D. and Lohr, S. (2005). The security of our secrets: A history of privacy and confidentiality in law and statistical practice. Denver University Law Review, 83, 147-209.

 
• Dueck, A. and Lohr, S. (2005). Robust estimation of multivariate covariance components, Biometrics, 61, 162-169.

 
• Buskirk, T. and Lohr, S. (2005). Asymptotic properties of kernel density estimation with complex survey data. Journal of Statistical Planning and Inference, 128, 165-190.