Justine Shults

Affiliations: 
University of Pennsylvania, Philadelphia, PA, United States 
Area:
Biostatistics Biology
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"Justine Shults"
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Publications

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Gamerman V, Guerra M, Shults J. (2016) Maximum likelihood based analysis of equally spaced longitudinal count data with first-order antedependence and overdispersion. Springerplus. 5: 1935
Shults J, Guerra MW. (2014) A note on implementation of decaying product correlation structures for quasi-least squares. Statistics in Medicine. 33: 3398-404
Guerra MW, Shults J. (2014) A note on the simulation of overdispersed random variables with specified marginal means and product correlations American Statistician. 68: 104-107
Guerra MW, Shults J, Amsterdam J, et al. (2012) The analysis of binary longitudinal data with time-dependent covariates. Statistics in Medicine. 31: 931-48
Wetzsteon RJ, Kalkwarf HJ, Shults J, et al. (2011) Volumetric bone mineral density and bone structure in childhood chronic kidney disease. Journal of Bone and Mineral Research : the Official Journal of the American Society For Bone and Mineral Research. 26: 2235-44
Foster BJ, Kalkwarf HJ, Shults J, et al. (2011) Association of chronic kidney disease with muscle deficits in children. Journal of the American Society of Nephrology : Jasn. 22: 377-86
Shults J, Sun W, Tu X, et al. (2009) A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data. Statistics in Medicine. 28: 2338-55
Sun W, Shults J, Leonard M. (2009) A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials. Biometrical Journal. Biometrische Zeitschrift. 51: 5-18
Magge SN, O'Neill KL, Shults J, et al. (2008) Leptin levels among prepubertal children with Down syndrome compared with their siblings. The Journal of Pediatrics. 152: 321-6
Shults J, Whitt MC, Kumanyika S. (2004) Analysis of data with multiple sources of correlation in the framework of generalized estimating equations. Statistics in Medicine. 23: 3209-26
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