The Data Management and Biostatistics Core provides the Rush ADCC and each of its component cores with the ability to efficiently handle the large amounts of data they collect, maintains these data in efficient data sets with appropriate protection of confidentiality, and offers the skills needed to conduct well chosen statistical analyses of these data. The Core supports computer assisted data acquisition systems that are used for all data collection within the ADCC, except for small data sets. This computer-assisted approach offers improved data quality with fewer missing data and out-of-range values, opportunity to detect and correct the reduced number of errors that do occur in a timely fashion, more rapid availability of high quality data for analysis and elimination of the cost of double-entry data keying services. In the ADCC, these advantages of a computer-assisted approach have greatly outweighed its initially higher costs for programming and training. After collection, data from all ADCC cores are maintained in tables within a relational database management system. Reports generated from this system monitor the process of data transfer from the data collection staff to the database, track the progress of data collection, assess data quality, and monitor the process of correcting any errors. Multiple-level security procedures are used to assure the confidentiality and integrity of the data. The Data Management and Biostatistics Core provides investigators in other cores access to expert opinion on statistical issues and to appropriate analytic techniques. Because of the strong emphasis on collection of longitudinal data in the ADCC cores, there is corresponding emphasis on design and conduct of longitudinal statistical analyses. Use of expert statistical opinion from the Data Management and Biostatistics Core is emphasized not only in the conduct of analyses, but in study design as well. The Core does not directly conduct data analyses for the independently funded studies that utilize ADCC data, but provides guidance regarding the characteristics of the data and selection of appropriate analytic techniques. The Core also provides a mechanism for the ADCC to support and participate actively in data sharing and joint data management activities among all NIA-funded Alzheimer?s Disease Centers.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
3P30AG010161-11S2
Application #
6563294
Study Section
Project Start
2002-03-01
Project End
2002-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
11
Fiscal Year
2002
Total Cost
$178,517
Indirect Cost
Name
Rush University Medical Center
Department
Type
DUNS #
City
Chicago
State
IL
Country
United States
Zip Code
60612
Arvanitakis, Zoe; Leurgans, Sue E; Fleischman, Debra A et al. (2018) Memory complaints, dementia, and neuropathology in older blacks and whites. Ann Neurol 83:718-729
Blue, Elizabeth E; Bis, Joshua C; Dorschner, Michael O et al. (2018) Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer's Disease Sequencing Project. Dement Geriatr Cogn Disord 45:1-17
Ganguli, Mary; Albanese, Emiliano; Seshadri, Sudha et al. (2018) Population Neuroscience: Dementia Epidemiology Serving Precision Medicine and Population Health. Alzheimer Dis Assoc Disord 32:1-9
Wilson, Robert S; Capuano, Ana W; Yu, Lei et al. (2018) Neurodegenerative disease and cognitive retest learning. Neurobiol Aging 66:122-130
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
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
Capuano, Ana W; Wilson, Robert S; Leurgans, Sue E et al. (2018) Sigmoidal mixed models for longitudinal data. Stat Methods Med Res 27:863-875
Halloway, Shannon; Arfanakis, Konstantinos; Wilbur, JoEllen et al. (2018) Accelerometer Physical Activity is Associated with Greater Gray Matter Volumes in Older Adults without Dementia or Mild Cognitive Impairment. J Gerontol B Psychol Sci Soc Sci :
Mahady, L; Nadeem, M; Malek-Ahmadi, M et al. (2018) HDAC2 dysregulation in the nucleus basalis of Meynert during the progression of Alzheimer's disease. Neuropathol Appl Neurobiol :
Kovaleva, Mariya A; Bilsborough, Elizabeth; Griffiths, Patricia C et al. (2018) Testing Tele-Savvy: Protocol for a randomized controlled trial. Res Nurs Health 41:107-120

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