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.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Specialized Center (P50)
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Special Emphasis Panel (ZAG1)
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Massachusetts General Hospital
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Mattos, Meghan K; Snitz, Beth E; Lingler, Jennifer H et al. (2017) Older Rural- and Urban-Dwelling Appalachian Adults With Mild Cognitive Impairment. J Rural Health 33:208-216
Moga, Daniela C; Abner, Erin L; Wu, Qishan et al. (2017) Bladder antimuscarinics and cognitive decline in elderly patients. Alzheimers Dement (N Y) 3:139-148
Wachinger, Christian; Reuter, Martin; Klein, Tassilo (2017) DeepNAT: Deep convolutional neural network for segmenting neuroanatomy. Neuroimage :
Sennik, Simrin; Schweizer, Tom A; Fischer, Corinne E et al. (2017) Risk Factors and Pathological Substrates Associated with Agitation/Aggression in Alzheimer's Disease: A Preliminary Study using NACC Data. J Alzheimers Dis 55:1519-1528
Marquié, Marta; Verwer, Eline E; Meltzer, Avery C et al. (2017) Lessons learned about [F-18]-AV-1451 off-target binding from an autopsy-confirmed Parkinson's case. Acta Neuropathol Commun 5:75
Wang, Zemin; Jackson, Rosemary J; Hong, Wei et al. (2017) Human Brain-Derived A? Oligomers Bind to Synapses and Disrupt Synaptic Activity in a Manner That Requires APP. J Neurosci 37:11947-11966
Liu, Ganqiang; Locascio, Joseph J; Corvol, Jean-Christophe et al. (2017) Prediction of cognition in Parkinson's disease with a clinical-genetic score: a longitudinal analysis of nine cohorts. Lancet Neurol 16:620-629
Neu, Scott C; Pa, Judy; Kukull, Walter et al. (2017) Apolipoprotein E Genotype and Sex Risk Factors for Alzheimer Disease: A Meta-analysis. JAMA Neurol 74:1178-1189
Xia, Chenjie; Makaretz, Sara J; Caso, Christina et al. (2017) Association of In Vivo [18F]AV-1451 Tau PET Imaging Results With Cortical Atrophy and Symptoms in Typical and Atypical Alzheimer Disease. JAMA Neurol 74:427-436
Dickerson, Bradford C; McGinnis, Scott M; Xia, Chenjie et al. (2017) Approach to atypical Alzheimer's disease and case studies of the major subtypes. CNS Spectr 22:439-449

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