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Justine Shults

Section Editor: Justine Shults

I am an Associate Professor of Biostatistics in the Department of Biostatistics at the University of Pennsylvania and am Co-Director (with Russel Localio) of a pediatric section of Biostatistics at the Children’s Hospital of Philadelphia.

I teach Linear Models for students in our PhD program and am also the principal investigator of a Renal & Urologic Biostatistics Training Grant (2T32DK060455) that is funded by the National Institute of Diabetes and Digestive and Kidney Disease (NIDDK) in the National Institutes of Health.

I am involved as a statistician co-investigator on NIH funded projects that include studies of bone health in children, psychological effects of injury in urban black men, issues surrounding kidney transplant, taste preference of formula- fed infants, and an intervention that employs social media (in particular, a Facebook group) to promote healthier choices for new mothers. My participation in these studies motivates my own work to develop improved statistical methods for the analysis of longitudinal and clustered data.

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  1. Content type: Methodology

    This paper considers an improvement of empirical mode decomposition (EMD) in the presence of missing data. EMD has been widely used to decompose nonlinear and nonstationary signals into some components accord...

    Authors: Donghoh Kim and Hee-Seok Oh

    Citation: SpringerPlus 2016 5:2016

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  2. Content type: Research

    This manuscript implements a maximum likelihood based approach that is appropriate for equally spaced longitudinal count data with over-dispersion, so that the variance of the outcome variable is larger than e...

    Authors: Victoria Gamerman, Matthew Guerra and Justine Shults

    Citation: SpringerPlus 2016 5:1935

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  3. Content type: Review

    Citizen science and crowdsourcing have been emerging as methods to collect data for surveillance and/or monitoring activities. They could be gathered under the overarching term citizen surveillance. The discipli...

    Authors: Marijke Welvaert and Peter Caley

    Citation: SpringerPlus 2016 5:1890

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  4. Content type: Research

    The Lomax distribution (Pareto Type-II) is widely applicable in reliability and life testing problems in engineering as well as in survival analysis as an alternative distribution. In this paper, Weighted Loma...

    Authors: N. M. Kilany

    Citation: SpringerPlus 2016 5:1862

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  5. Content type: Research

    This paper focuses on the application of Markov Chain Monte Carlo (MCMC) technique for estimating the parameters of log-logistic (LL) distribution which is dependent on a complete sample. To find Bayesian esti...

    Authors: Ali A. Al-Shomrani, A. I. Shawky, Osama H. Arif and Muhammad Aslam

    Citation: SpringerPlus 2016 5:1774

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  6. Content type: Research

    The validity and reliability of various items on the GP Patient Survey (GPPS) survey have been reported, however stability of patient responses over time has not been tested. The purpose of this study was to d...

    Authors: Antoinette F. Davey, Martin J. Roberts, Luke Mounce, Inocencio Maramba and John L. Campbell

    Citation: SpringerPlus 2016 5:1755

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  7. Content type: Research

    In this study, we have considered a series system composed of stochastically independent M-component where M is a random variable having the zero truncated modified discrete Lindley distribution. This distribu...

    Authors: Mehmet Yilmaz, Monireh Hameldarbandi and Sibel Acik Kemaloglu

    Citation: SpringerPlus 2016 5:1660

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  8. Content type: Research

    This study employed the quadratic classification function analysis to examine the influence of farmer’s socio-demographic and varietal characteristics of maize on adoption of improved maize varieties (IMVs) i...

    Authors: Abukari Alhassan, Hussein Salifu and Atinuke O. Adebanji

    Citation: SpringerPlus 2016 5:1514

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