Biblio
Export 40 results:
[ Author] Title Type Year Filters: First Letter Of Last Name is S [Clear All Filters]
Relationships Between Retinal Axonal and Neuronal Measures and Global Central Nervous System Pathology in Multiple Sclerosis.. Arch Neurol. :1-10.
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2012. Microcystic macular oedema, thickness of the inner nuclear layer of the retina, and disease characteristics in multiple sclerosis: a retrospective study.. Lancet Neurol. 11(11):963-72.
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2012. Relationships between retinal axonal and neuronal measures and global central nervous system pathology in multiple sclerosis.. JAMA Neurol. 70(1):34-43.
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2013. Prevalence estimates for paratuberculosis adjusted for test variability using Bayesian analysis. Prev. Vet. Med.. 60:281–295.
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2003. Accounting for within-patient correlation in assessing relative sensitivity of an adjunctive diagnostic test: Application to lung cancer. Statistics in Medicine. 27:2110–2126.
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2008. Estimating energy expenditure from heart rate in older adults: a case for calibration.. PLoS One. 9(4):e93520.
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2014. Assessing the "physical cliff": detailed quantification of age-related differences in daily patterns of physical activity.. J Gerontol A Biol Sci Med Sci. 69(8):973-9.
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2014. Evaluation of Cumulative Lead Dose and Longitudinal Changes in Structural Magnetic Resonance Imaging in Former Organolead Workers. Journal of Occupational and Environmental Medicine, PMCID: PMC2869464. 52:407–414.
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2010. Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure. Neuroimage, PMCID: PMC2038986. 37:633–641.
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2007. Biomarkers of vascular calcification and mortality in patients with ESRD.. Clin J Am Soc Nephrol. 9(4):745-55.
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2014. Perioperative Mortality and Long-term Survival Following Live Kidney Donation. Journal of the American Medical Association, NIHMSID: 316358. 303:959–966.
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2010. Short-term variability in measures of glycemia and implications for the classification of diabetes. Arch. Intern. Med.. 167:1545–1551.
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2007. Revisiting Brain Atrophy and Its Relationship to Disability in Multiple Sclerosis. PLoS ONE. 7:e37049.
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2012. Predicting Breakdown of the Blood-Brain Barrier in Multiple Sclerosis without Contrast Agents. AJNR Am J Neuroradiol.
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2012. Statistical normalization techniques for magnetic resonance imaging.. Neuroimage Clin. 6:9-19.
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2014. Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. Neuroimage, PMCID: PMC3138825. 57:1430–1446.
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2011. Longitudinal Analysis of Spatiotemporal Processes: A Case Study of Dynamic Contrast-Enhanced Magnetic Resonance in Multiple Sclerosis. Johns Hopkins University, Dept. of Biostatistics Working Papers. :231.
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2011. The neural correlates of learned motor acuity.. J Neurophysiol. 112(4):971-80.
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2014. Quantifying the reliability of image replication studies: the image intraclass correlation coefficient (I2C2).. Cogn Affect Behav Neurosci. 13(4):714-24.
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2013. Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI.. Neuroimage. 102 Pt 2:938-44.
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2014. Structured functional principal component analysis.. Biometrics.
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2014. Electrocorticographic high gamma activity versus electrical cortical stimulation mapping of naming. Brain. 128:1556–1570.
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2005. In vivo identification of morphologic retinal abnormalities in neuromyelitis optica.. Neurology. 80(15):1406-14.
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2013. Higher order approximations for interval estimation in binomial settings. J. of Statistical Planning and Inference. 139:3393–3404.
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2009. On probability matching priors. The Canadian J. of Statistics. 36:613–622.
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