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 #
2P50AG005146-22A1
Application #
6932643
Study Section
Special Emphasis Panel (ZAG1-ZIJ-7 (J4))
Project Start
2005-04-01
Project End
2010-03-31
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
22
Fiscal Year
2005
Total Cost
$96,020
Indirect Cost

  Institution

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

  Publications

Kim, Jeongyong; Bandeen-Roche, Karen (2018) Parametric estimation of association in bivariate failure-time data subject to competing risks: sensitivity to underlying assumptions. Lifetime Data Anal :
Bilgel, Murat; An, Yang; Helphrey, Jessica et al. (2018) Effects of amyloid pathology and neurodegeneration on cognitive change in cognitively normal adults. Brain :
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Yasar, Sevil; Varma, Vijay R; Harris, Gregory C et al. (2018) Associations of Angiotensin Converting Enzyme-1 and Angiotensin II Blood Levels and Cognitive Function. J Alzheimers Dis 63:655-664
Kamara, Dennis M; Gangishetti, Umesh; Gearing, Marla et al. (2018) Cerebral Amyloid Angiopathy: Similarity in African-Americans and Caucasians with Alzheimer's Disease. J Alzheimers Dis 62:1815-1826
Pettigrew, Corinne; Shao, Yi; Zhu, Yuxin et al. (2018) Self-reported Lifestyle Activities in Relation to Longitudinal Cognitive Trajectories. Alzheimer Dis Assoc Disord :
Davis, Jeremy J (2018) Performance validity in older adults: Observed versus predicted false positive rates in relation to number of tests administered. J Clin Exp Neuropsychol 40:1013-1021
Behrens, Stephanie; Rattinger, Gail B; Schwartz, Sarah et al. (2018) Use of FDA approved medications for Alzheimer's disease in mild dementia is associated with reduced informal costs of care. Int Psychogeriatr 30:1499-1507
Habes, Mohamad; Sotiras, Aristeidis; Erus, Guray et al. (2018) White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophy. Neurology 91:e964-e975
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27

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