The Data Management and Statistics Core provides the database and statistical support for research conducted in conjunction with the ADRC, including local projects and collaborative efforts with other ADCs and with national AD research initiatives. This includes database development and maintenance, data quality control and monitoring, study design and planning, and data analysis and interpretation. The Core will ensure adherence to the highest standards of database and statistical practice. Development of novel study designs to maximize the efficiency of early disease trials is a major research focus. A new focus of the Core is the training of biostatisticians with expertise in statistical methods that are necessary to solve analytic issues that arise in laboratory, clinical and epidemiologic studies of AD, and the training of physician- scientists with a mastery of epidemiologic and biostatistical principles of study design and clinical research. An additional new focus of the Core is development and deployment of novel software for integrating multimodal data and interpretations. This takes two forms: advanced longitudinal and multimodal database software, and software to support web-based collaboration amongst ADRC and collaborating researchers.
The specific aims of the Core are: (1) To provide computing and (a) database management and (b) statistical consultation and collaboration to the research projects, pilot projects and the cores of the ADRC;(2) To facilitate local research efforts, collaborations between and among ADCs, and with national AD research initiatives, including NACC. This includes preparing the Uniform Data Set (UDS) for transmission to NACC; (3) To develop, implement and share novel specialized software for multimodal database integration and query and provide training for users in the software and database;(4) To provide software support for the ADRC web page, including web-based collaboration amongst ADRC researchers;and to provide training for users in the software;(5) To train students in the Biostatistics and Epidemiology Departments at Harvard School of Public Health in statistical and epidemiologic methods that are required for AD studies. Also, to train junior clinical investigators in the principles and methods of clinjcal AD research;(6) To develop efficient clinical trial designs for the study of early stage patients, drawing upon analyses of existing cohorts with long follow-up, with validation in the NACC database;(7) To develop methods for analysis of observational data that properly account for selection bias due to nonrandom ascertainment and complex forms of truncation.

Public Health Relevance

}: The Data Management and Statistics Core is responsible for entering, managing, transferring, and analyzing all ADRC related data. The Core trains investigators to use its database software and web-based tools. It also provides training in statistical methods for the design and analysis of Alzheimer's studies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005134-28
Application #
8235892
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2011-04-01
Budget End
2012-03-31
Support Year
28
Fiscal Year
2011
Total Cost
$184,613
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Kamara, Dennis M; Gangishetti, Umesh; Gearing, Marla et al. (2018) Cerebral Amyloid Angiopathy: Similarity in African-Americans and Caucasians with Alzheimer's Disease. J Alzheimers Dis 62:1815-1826
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340
Wegmann, Susanne; Eftekharzadeh, Bahareh; Tepper, Katharina et al. (2018) Tau protein liquid-liquid phase separation can initiate tau aggregation. EMBO J 37:
Racine, Annie M; Brickhouse, Michael; Wolk, David A et al. (2018) The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment. Alzheimers Dement (Amst) 10:301-310
Bennett, Rachel E; Robbins, Ashley B; Hu, Miwei et al. (2018) Tau induces blood vessel abnormalities and angiogenesis-related gene expression in P301L transgenic mice and human Alzheimer's disease. Proc Natl Acad Sci U S A 115:E1289-E1298
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Kaur, Antarpreet; Edland, Steven D; Peavy, Guerry M (2018) The MoCA-Memory Index Score: An Efficient Alternative to Paragraph Recall for the Detection of Amnestic Mild Cognitive Impairment. Alzheimer Dis Assoc Disord 32:120-124
Tse, Kai-Hei; Cheng, Aifang; Ma, Fulin et al. (2018) DNA damage-associated oligodendrocyte degeneration precedes amyloid pathology and contributes to Alzheimer's disease and dementia. Alzheimers Dement 14:664-679
Lee, Catherine; Betensky, Rebecca A; Alzheimer's Disease Neuroimaging Initiative (2018) Time-to-event data with time-varying biomarkers measured only at study entry, with applications to Alzheimer's disease. Stat Med 37:914-932
Schaffert, Jeff; LoBue, Christian; White, Charles L et al. (2018) Traumatic brain injury history is associated with an earlier age of dementia onset in autopsy-confirmed Alzheimer's disease. Neuropsychology 32:410-416

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