The Biostatistics and Data Management Core (BDMC) can be conceptualized as the lynchpin for integration of the ADC Cores and is vital to the success of the UK-ADC. Its critical roles include managing a large centralized database, consulting with ADC-affiliated researchers, and working to develop and apply innovative statistical methodology for data analysis. Data management efforts focus on collecting and storing high quality data. This focus begins with the leadership and vision and attention to detail provided by the BDMC. This core has an enviable track record of timely and accurate reporting of a high volume of data to NACC. Further, weekly Core meetings are popular with UK-ADC investigators who find that the expert advice provided by our seasoned investigators improves their success in pilot studies, grant applications, and publications. This core also participates as a full partner to the research mission of the UK-ADC emphasizing transitions and translations. One such partnership with the Clinical and Neuropathology Cores relates to clinico-pathological models of mixed dementias. A key element of this BDMC is the well established track record of developing novel methodology to analyze data collected at the UK-ADC and from other cohorts with a focus on elderly subjects'transitions to MCI and eventually dementia. The BDMC also provides training for students enrolled in the graduate programs in Gerontology, Public Health, Epidemiology and Biostatistics, Psychology, and Statistics. In keeping with the mission of the UK-ADC, faculty in this core also contribute to the dementia research community at large through service on external advisory committees, study sections, manuscript reviews, and data safety monitoring boards. The BDMC will continue these critical responsibilities through the following specific aims. 1. Maintain a centralized database of the information collected by all ADC Cores and affiliated research projects in an integrated manner. 2. Provide expertise on experimental design and statistical analysis (and developing new analytical approaches). 3. Interact dynamically with other Cores to contribute to the clinical, neuropathological, and educational/outreach missions of the ADC.

Public Health Relevance

This core provides data management and analysis support that meets the highest standards of scientific conduct. The Core is also involved facilitating AD research through collaborations with investigators and development of new methods for analyzing data.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG028383-08
Application #
8491998
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
8
Fiscal Year
2013
Total Cost
$202,151
Indirect Cost
$66,022
Name
University of Kentucky
Department
Type
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
Gallagher, Damien; Kiss, Alex; Lanctot, Krista L et al. (2018) Toward Prevention of Mild Cognitive Impairment in Older Adults With Depression: An Observational Study of Potentially Modifiable Risk Factors. J Clin Psychiatry 80:
Hartz, Anika M S; Schulz, Julia A; Sokola, Brent S et al. (2018) Isolation of Cerebral Capillaries from Fresh Human Brain Tissue. J Vis Exp :
Katsumata, Yuriko; Nelson, Peter T; Estus, Steven et al. (2018) Translating Alzheimer's disease-associated polymorphisms into functional candidates: a survey of IGAP genes and SNPs. Neurobiol Aging 74:135-146
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
Barnes, Josephine; Bartlett, Jonathan W; Wolk, David A et al. (2018) Disease Course Varies According to Age and Symptom Length in Alzheimer's Disease. J Alzheimers Dis 64:631-642
Bradley-Whitman, Melissa A; Roberts, Kelly N; Abner, Erin L et al. (2018) A novel method for the rapid detection of post-translationally modified visinin-like protein 1 in rat models of brain injury. Brain Inj 32:363-380
Brown, Christopher A; Jiang, Yang; Smith, Charles D et al. (2018) Age and Alzheimer's pathology disrupt default mode network functioning via alterations in white matter microstructure but not hyperintensities. Cortex 104:58-74
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
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
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

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