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Lloyd J. Edwards

Affiliations: 
Biostatistics University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Statistics
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Matthew J. Gurka grad student 2004 UNC Chapel Hill
Jean G. Orelien grad student 2007 UNC Chapel Hill
Anita A. Abraham grad student 2008 UNC Chapel Hill
Sean L. Simpson grad student 2008 UNC Chapel Hill
Jeanine M. Matuszewski grad student 2011 UNC Chapel Hill
Christian E. Douglas grad student 2014 UNC Chapel Hill

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Publications

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Jaeger BC, Edwards LJ, Gurka MJ. (2018) An R2 statistic for covariance model selection in the linear mixed model Journal of Applied Statistics. 46: 164-184
Smith CL, Edwards LJ. (2016) A test of separate hypotheses for comparing linear mixed models with non nested fixed effects Communications in Statistics - Theory and Methods. 46: 5487-5500
Jaeger BC, Edwards LJ, Das K, et al. (2016) An R2 statistic for fixed effects in the generalized linear mixed model Journal of Applied Statistics. 1-20
Simpson SL, Edwards LJ, Styner MA, et al. (2014) Separability tests for high-dimensional, low sample size multivariate repeated measures data. Journal of Applied Statistics. 41: 2450-2461
Edwards LJ, Simpson SL. (2014) An analysis of 24-h ambulatory blood pressure monitoring data using orthonormal polynomials in the linear mixed model. Blood Pressure Monitoring. 19: 153-63
Simpson SL, Edwards LJ, Styner MA, et al. (2014) Kronecker product linear exponent AR(1) correlation structures for multivariate repeated measures. Plos One. 9: e88864
Simpson SL, Edwards LJ. (2013) A circular LEAR correlation structure for cyclical longitudinal data. Statistical Methods in Medical Research. 22: 296-306
Gurka MJ, Kelley GA, Edwards LJ. (2012) Fixed and random effects models Wiley Interdisciplinary Reviews: Computational Statistics. 4: 181-190
Gurka MJ, Edwards LJ, Muller KE. (2011) Avoiding bias in mixed model inference for fixed effects. Statistics in Medicine. 30: 2696-707
Gurka MJ, Edwards LJ. (2011) Estimating variance components and random effects using the box-cox transformation in the linear mixed model Communications in Statistics - Theory and Methods. 40: 515-531
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