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 #
2P50AG005134-26
Application #
7650819
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (J1))
Project Start
Project End
Budget Start
2009-05-01
Budget End
2010-03-31
Support Year
26
Fiscal Year
2009
Total Cost
$183,172
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
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
Wimalaratne, Sarala M; Juty, Nick; Kunze, John et al. (2018) Uniform resolution of compact identifiers for biomedical data. Sci Data 5:180029
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
Woerman, Amanda L; Kazmi, Sabeen A; Patel, Smita et al. (2018) Familial Parkinson's point mutation abolishes multiple system atrophy prion replication. Proc Natl Acad Sci U S A 115:409-414
Woerman, Amanda L; Kazmi, Sabeen A; Patel, Smita et al. (2018) MSA prions exhibit remarkable stability and resistance to inactivation. Acta Neuropathol 135:49-63
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
Bennett, Rachel E; Bryant, Annie; Hu, Miwei et al. (2018) Partial reduction of microglia does not affect tau pathology in aged mice. J Neuroinflammation 15:311
Arnold, Steven E; Betensky, Rebecca A (2018) Multicrossover Randomized Controlled Trial Designs in Alzheimer Disease. Ann Neurol 84:168-175
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
Donovan, Nancy J; Locascio, Joseph J; Marshall, Gad A et al. (2018) Longitudinal Association of Amyloid Beta and Anxious-Depressive Symptoms in Cognitively Normal Older Adults. Am J Psychiatry 175:530-537

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