Abstract

The Data Management and Statistics Core is a central component of the Johns Hopkins ADRC. The staff of the Data Management and Statistics Core is responsible for overseeing data quality control entry, data archiving, and data monitoring for all of the Cores in the ADRC, and for all projects funded through the ADRC. The faculty of the Data Management and Statistics Core is also responsible for provision of statistical support and expert statistical consultation to investigators in the ADRC, including assistance with study design, power calculations and statistical analysis. The Data Management and Statistics Core will ensure that state-of-the art analytic techniques are employed in the projects that are undertaken by ADRC investigators. The ADRC is committed to data sharing and the Data Management and Statistics Core will oversee the provision of clinical and pathological data to the National Alzheimer Coordinating Center (NACC) on a regular basis, as required. In addition, the Data Management and Statistics Core works to develop novel analytic techniques that are particularly relevant to the development and progression of cognitive decline and dementia in older persons. It will also be possible to train pre-doctoral and post-doctoral statisticians in analytic methods related to cognitive decline and dementia, using datasets that are available.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005146-26
Application #
7797430
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2009-04-01
Budget End
2010-03-31
Support Year
26
Fiscal Year
2009
Total Cost
$210,092
Indirect Cost

  Institution

Name
Johns Hopkins University
Department
Type
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218

  Publications

Bouhrara, Mustapha; Reiter, David A; Bergeron, Christopher M et al. (2018) Evidence of demyelination in mild cognitive impairment and dementia using a direct and specific magnetic resonance imaging measure of myelin content. Alzheimers Dement 14:998-1004
Xiong, Yulan; Neifert, Stewart; Karuppagounder, Senthilkumar S et al. (2018) Robust kinase- and age-dependent dopaminergic and norepinephrine neurodegeneration in LRRK2 G2019S transgenic mice. Proc Natl Acad Sci U S A 115:1635-1640
Nicolas, Aude (see original citation for additional authors) (2018) Genome-wide Analyses Identify KIF5A as a Novel ALS Gene. Neuron 97:1268-1283.e6
Wong, Dean F; Comley, Robert A; Kuwabara, Hiroto et al. (2018) Characterization of 3 Novel Tau Radiopharmaceuticals, 11C-RO-963, 11C-RO-643, and 18F-RO-948, in Healthy Controls and in Alzheimer Subjects. J Nucl Med 59:1869-1876
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Varma, Vijay R; Oommen, Anup M; Varma, Sudhir et al. (2018) Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Med 15:e1002482
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Soldan, Anja; Pettigrew, Corinne; Albert, Marilyn (2018) Evaluating Cognitive Reserve Through the Prism of Preclinical Alzheimer Disease. Psychiatr Clin North Am 41:65-77
Guerreiro, Rita; Ross, Owen A; Kun-Rodrigues, Celia et al. (2018) Investigating the genetic architecture of dementia with Lewy bodies: a two-stage genome-wide association study. Lancet Neurol 17:64-74
Bermudez, Camilo; Plassard, Andrew J; Davis, Taylor L et al. (2018) Learning Implicit Brain MRI Manifolds with Deep Learning. Proc SPIE Int Soc Opt Eng 10574:

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