The Data Management and Statistics Core provides the database management and statistical support for research conducted within the Massachusetts ADRC (MADRC), including local research projects such as Projects 1, 2 &3 in this grant renewal submission, and collaborative efforts with other ADCs and with national AD research initiatives. The Core aims to catalyze basic science, clinical and translational research in AD by participating in collaborations with subject-matter researchers, in which we develop efficient study designs, and implement and develop optimal analytic methods;as well as through collaborative software development, data management and web-based collaboration and communication methods. The Core aims to innovate in study design and analytic methods, aiming for validity, unbiasedness, and optimal use of time, subjects, and other resources in clinical trials and observational studies. In data management, we have already transitioned from the Center's CBASE system to the multi-center LAVA Clinical Research Management System, for all UDS data management tasks. LAVA will be customized in the coming period to handle the entirety of data collected in the Clinical and Neuropathology Cores, as well as summary descriptive and indexing data from the Neuroimaging Cores. We will continue to collaborate in and support an innovative move across several centers to implement shared software development based on LAVA. The Core aims to educate researchers at all levels, including undergraduates, doctoral students, and post-doctoral fellows in Biostatistics and Epidemiology, MD fellows in Neurology and allied fields, and faculty level clinician scientists. This education encompasses informal instruction on statistical principles of experimental design and data analysis, formal mentoring on research projects, and close collaboration with the Outreach and Admin Cores on Web based programs. Statistics provides consultation for MADRC and MADRC-affiliated Research and Pilot Projects, from the initial conception of the study goals, endpoints and designs, to their monitoring and final analyses. Data Management interacts with each component of the Center. The collaboration is particularly close with the Clinical Core, which enters, verifies and maintains systematic data collected regularly on all LC subjects into the LAVA database, including the UDS set of test results. We then submit the UDS data to NACC. We also assist MADRC investigators with database queries, data extraction and statistical analyses. There is a similar relation with the Neuropathology Core, which submits biomarker and autopsy data;we forward autopsy findings to NACC. We plan to receive, manage and store information from the new Neuroimaging Core. The Data and Statistics Core functions as the glue that binds other Cores together, and fulfills the Administrative Core's mandate of ensuring a smooth functioning research center. It is our overall aim to serve both as a resource for ongoing activities in Alzheimer's disease and other neurodegenerative diseases and as a leader in both research and technical development activities.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
2P50AG005134-31
Application #
8676352
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (J1))
Project Start
2014-04-01
Project End
2019-03-31
Budget Start
2014-04-01
Budget End
2015-03-31
Support Year
31
Fiscal Year
2014
Total Cost
$201,184
Indirect Cost
$85,561
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Viswanathan, Anand; Greenberg, Steven M; Scheltens, Philip (2016) Role of Vascular Disease in Alzheimer-Like Progressive Cognitive Impairment. Stroke 47:577-80
Dhilla Albers, Alefiya; Asafu-Adjei, Josephine; Delaney, Mary K et al. (2016) Episodic memory of odors stratifies Alzheimer biomarkers in normal elderly. Ann Neurol 80:846-857
Day, Gregory S; Musiek, Erik S; Roe, Catherine M et al. (2016) Phenotypic Similarities Between Late-Onset Autosomal Dominant and Sporadic Alzheimer Disease: A Single-Family Case-Control Study. JAMA Neurol 73:1125-32
Ronquillo, Jay Geronimo; Baer, Merritt Rachel; Lester, William T (2016) Sex-specific patterns and differences in dementia and Alzheimer's disease using informatics approaches. J Women Aging 28:403-11
Herold, C; Hooli, B V; Mullin, K et al. (2016) Family-based association analyses of imputed genotypes reveal genome-wide significant association of Alzheimer's disease with OSBPL6, PTPRG, and PDCL3. Mol Psychiatry 21:1608-1612
Serrano-Pozo, Alberto; Betensky, Rebecca A; Frosch, Matthew P et al. (2016) Plaque-Associated Local Toxicity Increases over the Clinical Course of Alzheimer Disease. Am J Pathol 186:375-84
Ridge, Perry G; Hoyt, Kaitlyn B; Boehme, Kevin et al. (2016) Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging 41:200.e13-20
Ringman, John M; Monsell, Sarah; Ng, Denise W et al. (2016) Neuropathology of Autosomal Dominant Alzheimer Disease in the National Alzheimer Coordinating Center Database. J Neuropathol Exp Neurol 75:284-90
Rentz, Dorene M; Dekhtyar, Maria; Sherman, Julia et al. (2016) The Feasibility of At-Home iPad Cognitive Testing For Use in Clinical Trials. J Prev Alzheimers Dis 3:8-12
Grogg, Kira S; Toole, Terrence; Ouyang, Jinsong et al. (2016) National Electrical Manufacturers Association and Clinical Evaluation of a Novel Brain PET/CT Scanner. J Nucl Med 57:646-52

Showing the most recent 10 out of 717 publications