The role of the Data Management and Statistics Core will be to facilitate research through the University of Pittsburgh Alzheimer's Disease Research Center by providing high quality data management and study methodologic support. Specifically, the aims of this Core will be: 1. Provide efficient database management systems to ensure complete and accurate research data 2. Collaborate with NACC and NIA initiatives to contribute to national databases 3. Provide computerized systems to support processes integral to the operations of the ADRC 4. Provide methodological and analytical support to ADRC researchers.

Public Health Relevance

The data collected in the various projects and Cores of the ADRC require central management to maximize their utility for scientific investigations. A Core with personnel having the expertise to effectively and efficiently create complete and accurate computerized databases is essential to the scientific mission of the ADRC, including the ability to share data with approved investigators locally, nationally, and internationally.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
2P50AG005133-27
Application #
8014488
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (J2))
Project Start
Project End
Budget Start
2010-05-01
Budget End
2011-03-31
Support Year
27
Fiscal Year
2010
Total Cost
$172,574
Indirect Cost
Name
University of Pittsburgh
Department
Type
DUNS #
004514360
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Snitz, Beth E; Wang, Tianxiu; Cloonan, Yona Keich et al. (2018) Risk of progression from subjective cognitive decline to mild cognitive impairment: The role of study setting. Alzheimers Dement 14:734-742
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Fowler, Nicole R; Shaaban, C Elizabeth; Torke, Alexia M et al. (2018) ""I'm Not Sure We Had A Choice"": Decision Quality and The Use of Cardiac Implantable Electronic Devices In Older Adults With Cognitive Impairment. Cardiol Cardiovasc Med 2:10-26
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
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
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
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
Karim, Helmet T; Wang, Maxwell; Andreescu, Carmen et al. (2018) Acute trajectories of neural activation predict remission to pharmacotherapy in late-life depression. Neuroimage Clin 19:831-839
Kamboh, M Ilyas (2018) A Brief Synopsis on the Genetics of Alzheimer's Disease. Curr Genet Med Rep 6:133-135
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064

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