CORE C: DATA MANAGEMENT and STATISTICS CORE The overarching goal of the Data Management and Statistics Core (DMSC) within the University of California-Irvine (UCI) Alzheimer's Disease Research Center (ADRC) is to provide logistical and intellectual support to all ADRC investigators at all phases of scientific projects. As such, the mission of the DMSC faculty and staff is to be intimately involved in the conception, design, implementation, analysis, and reporting of research conducted by members of the ADRC. Strong statistical design, clean and organized data, and efficient data analyses are crucial components to achieving the scientific goals set forth by the UCI ADRC. With this in mind the DMSC emphasizes regular communication with ADRC investigators and proactive involvement in ADRC-sponsored projects. While a large portion of effort from DMSC faculty has been devoted to providing collaboration and service to ADRC investigators, the DMSC will also emphasize and encourage the development of independent research programs among members of the DMSC. These research projects will include the development and validation of novel data collection mechanisms, the development of new statistical methodology for addressing missing data, and the development of statistical methods for survival analysis. These DMSC-specific research endeavors will not only increase the intellectual contribution of the DMSC to the scientific community at large, but will most certainly lead to improved methods for collecting, entering, and analyzing complex data obtained through local ADRC projects.

Public Health Relevance

The DMSC plays a critical role in the successful research conducted by the UCI ADRC and is instrumental in providing valuable clinical and pathological data to the National Alzheimer's Coordinating Center. The DMSC provides comprehensive data management support to all ADRC Cores and projects. In addition, the DMSC provides statistical support to all ADRC investigators including project PIs.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG016573-14
Application #
8450804
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
14
Fiscal Year
2013
Total Cost
$179,498
Indirect Cost
$62,015
Name
University of California Irvine
Department
Type
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
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
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
Melikyan, Zarui A; Greenia, Dana E; Corrada, Maria M et al. (2018) Recruiting the Oldest-old for Clinical Research. Alzheimer Dis Assoc Disord :
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Suwabe, Kazuya; Byun, Kyeongho; Hyodo, Kazuki et al. (2018) Rapid stimulation of human dentate gyrus function with acute mild exercise. Proc Natl Acad Sci U S A 115:10487-10492
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487

Showing the most recent 10 out of 518 publications