Sharon Lohr
Affiliations: | Arizona State University, Tempe, AZ, United States |
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StatisticsGoogle:
"Sharon Lohr"Children
Sign in to add traineeJoseph W. Hirman | grad student | 2003 | Arizona State |
Lynn M. Ybarra | grad student | 2003 | Arizona State |
Amylou Dueck | grad student | 2005 | Arizona State |
Brenda Jenney | grad student | 2009 | Arizona State |
Burcu Eke | grad student | 2010 | Arizona State |
Andrew Karl | grad student | 2012 | Arizona State |
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Publications
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Michael Brick J, Lohr S. (2018) Experimental evaluation of mail questionnaires in a probability sample on victimization Journal of the Royal Statistical Society: Series a (Statistics in Society). 182: 669-687 |
Tourangeau R, Michael Brick J, Lohr S, et al. (2016) Adaptive and responsive survey designs: A review and assessment Journal of the Royal Statistical Society. Series a: Statistics in Society |
Lohr SL. (2014) Design Effects for a Regression Slope in a Cluster Sample Journal of Survey Statistics and Methodology. 2: 97-125 |
Karl AT, Yang Y, Lohr SL. (2014) Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects Computational Statistics and Data Analysis. 73: 146-162 |
Karl AT, Yang Y, Lohr SL. (2013) A Correlated Random Effects Model for Nonignorable Missing Data in Value-Added Assessment of Teacher Effects Journal of Educational and Behavioral Statistics. 38: 577-603 |
Karl AT, Yang Y, Lohr SL. (2013) Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments Computational Statistics and Data Analysis. 59: 13-27 |
Broatch J, Lohr S. (2012) Multidimensional Assessment of Value Added by Teachers to Real-World Outcomes Journal of Educational and Behavioral Statistics. 37: 256-277 |
Mendez G, Lohr S. (2011) Estimating residual variance in random forest regression Computational Statistics and Data Analysis. 55: 2937-2950 |
Jenney B, Lohr S. (2009) Experimental designs for multiple-level responses, with application to a large-scale educational intervention Annals of Applied Statistics. 3: 691-709 |
Mendez G, Buskirk TD, Lohr S, et al. (2008) Factors associated with persistence in science and engineering majors: An exploratory study using classification trees and random forests Journal of Engineering Education. 97: 57-69 |