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Sharon Lohr

Affiliations: 
Arizona State University, Tempe, AZ, United States 
Area:
Statistics
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"Sharon Lohr"
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Joseph 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
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