The Data Management and Statistics Core (DMSC) serves as a resource and collaborator for the ADRC cores and for all projects related to the goals of the ADRC. In order to carry out the functions of the DMSC: (1) We shall collaborate in the design of all Center forms and insure that the electronic versions of the forms allow simplicity of data entry as well as allow analysis files to be created and analyses to be accomplished. (2) We shall work with the WU Center for Biomedical Informatics (CBMI) to make information collected by ADRC Cores and projects available to all ADRC investigators and to insure the quality control of all analysis data sets for publications. (3) We shall collaborate with NACC to make smooth and timely data submissions (e.g., the Uniform Data Set). (4) We shall lead and consult on the statistical design of all projects with respect to the application of appropriate statistical and methodological techniques. (S) We shall lead and collaborate in data analysis and report preparation. (6) We shall facilitate local analyses and collaborations between and among ADCs and with NACC.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005681-28
Application #
8441007
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
1997-06-15
Project End
2015-04-30
Budget Start
2011-07-01
Budget End
2012-04-30
Support Year
28
Fiscal Year
2011
Total Cost
$144,290
Indirect Cost
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Moga, Daniela C; Abner, Erin L; Wu, Qishan et al. (2017) Bladder antimuscarinics and cognitive decline in elderly patients. Alzheimers Dement (N Y) 3:139-148
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Roe, Catherine M; Barco, Peggy P; Head, Denise M et al. (2017) Amyloid Imaging, Cerebrospinal Fluid Biomarkers Predict Driving Performance Among Cognitively Normal Individuals. Alzheimer Dis Assoc Disord 31:69-72
Pandya, Seema Y; Lacritz, Laura H; Weiner, Myron F et al. (2017) Predictors of Reversion from Mild Cognitive Impairment to Normal Cognition. Dement Geriatr Cogn Disord 43:204-214
Lewczuk, Piotr; Matzen, Anja; Blennow, Kaj et al. (2017) Cerebrospinal Fluid A?42/40 Corresponds Better than A?42 to Amyloid PET in Alzheimer's Disease. J Alzheimers Dis 55:813-822

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