The UCLA ADRC Data Management and Statistics Core (DMSC) has developed a sophisticated state-of-the-art data management infrastructure for center-wide data processing, information storage, data retrieval, and errorless data sharing. The DMSC has a data structure completely compatible with the National Alzheimer Coordinating Center (NACC) and has met all standards of data management in audits of the last grant cycle. Error checking programs are in place to insure continuing data quality. Staff members with programming skills are available to respond to the evolution of the uniform data set (UDS) and other data export requirements. The DMSC database includes all clinical, genetic, biomarker, and NACC-mandated neuropathology data as well as an inventory of available imaging. DMSC members participate in rater-training activities of Clinical Core to insure quality data capture. In addition to expert data management, the DMSC provides consultation on methodologic, research design, and data analysis issues related to the Cores and Projects supported by the ADRC. The Core Leader, David Elashoff, PhD, has specialized skills in analysis of large proteomic and genomic data sets - intellectual capital that has an important synergy with the ADRC's theme of the therapeutic imperative and the increasing importance of biomarkers in ADRC activities. Members of the DMSC participate in the Research Review Committee of the Pilot Project program and provide methodologic and design feedback on all submissions to the program. The DMSC has an active program for mentoring of junior faculty and trainees in statistical methods and responsible conduct of research. DMSC faculty participate in the Executive Committee and Clinical Research Committee and collaborates with the Recruitment and Education Core in maintaining and updating the ADRC website. The DMSC represents the essential informatic architecture of the UCLA ADRC.

Public Health Relevance

Quality data management and statistical sophistication in research design and data analysis are critical to the success of any scientific enterprise including the ADRC. The DMSC provides state-of-the-art data management and statistical consultation to insure the productivity of the Cores and Projects of the UCLA ADRC.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG016570-13
Application #
8440887
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
13
Fiscal Year
2012
Total Cost
$175,648
Indirect Cost
$41,866
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Jutkowitz, Eric; MacLehose, Richard F; Gaugler, Joseph E et al. (2017) Risk Factors Associated With Cognitive, Functional, and Behavioral Trajectories of Newly Diagnosed Dementia Patients. J Gerontol A Biol Sci Med Sci 72:251-258
Sokolow, Sophie; Li, Xiaohui; Chen, Lucia et al. (2017) Deleterious Effect of Butyrylcholinesterase K-Variant in Donepezil Treatment of Mild Cognitive Impairment. J Alzheimers Dis 56:229-237
Ringman, John M; Casado, Maria; Van Berlo, Victoria et al. (2017) A novel PSEN1 (S230N) mutation causing early-onset Alzheimer's Disease associated with prosopagnosia, hoarding, and Parkinsonism. Neurosci Lett 657:11-15
Jefferson-George, Kyra S; Wolk, David A; Lee, Edward B et al. (2017) Cognitive decline associated with pathological burden in primary age-related tauopathy. Alzheimers Dement 13:1048-1053
Katsumata, Yuriko; Nelson, Peter T; Ellingson, Sally R et al. (2017) Gene-based association study of genes linked to hippocampal sclerosis of aging neuropathology: GRN, TMEM106B, ABCC9, and KCNMB2. Neurobiol Aging 53:193.e17-193.e25
Ringman, John M (2017) Update on Alzheimer's and the Dementias: Introduction. Neurol Clin 35:171-174
Qian, Jing; Hyman, Bradley T; Betensky, Rebecca A (2017) Neurofibrillary Tangle Stage and the Rate of Progression of Alzheimer Symptoms: Modeling Using an Autopsy Cohort and Application to Clinical Trial Design. JAMA Neurol 74:540-548
Chang, Timothy S; Teng, Edmond; Elashoff, David et al. (2017) Optimizing Effect Sizes With Imaging Enrichment and Outcome Choices for Mild Alzheimer Disease Clinical Trials. Alzheimer Dis Assoc Disord 31:19-26
Blanken, Anna E; Hurtz, Sona; Zarow, Chris et al. (2017) Associations between hippocampal morphometry and neuropathologic markers of Alzheimer's disease using 7 T MRI. Neuroimage Clin 15:56-61
Kim, Julia; Schweizer, Tom A; Fischer, Corinne E et al. (2017) The Role of Cerebrovascular Disease on Cognitive and Functional Status and Psychosis in Severe Alzheimer's Disease. J Alzheimers Dis 55:381-389

Showing the most recent 10 out of 704 publications