The purpose of the Data Management and Biostatistical Core is to provide database and statistical support for the entire PPG.
The specific aims are to manage the multi-disciplinary database incorporating data from the Clinical and Administrative Core, the Pathology Core, and the four individual Projects; and provide statistical consultation to all PPG investigators. The UCSF Institute for Health and Aging (IHA), in partnership with the UCSF Department of Epidemiology and Biostatistics, will serve as the Data Management and Biostatistics Core for the proposed project. In this capacity, the data management and analysis team will design, develop and implement a data management system that will securely maintain all data that are collected from the Cores and Projects. Development of standardized data collection and management procedure will be accomplished. All instrument protocols will be maintained in a Manual of Procedures. In addition to instrument protocols, the Manual will include protocols for: 1) sample recruitment; 2) data collection; 3) submission of data to the centralized database, and 4) administrative issues. This core will create and manage a single dataset that integrates all the error-checked, standardized data from each site and makes it available to the research teams via an """"""""intranet"""""""" site. Data security will be addressed at multiple levels. The Biostatistics Core will address the statistical issues that arise in all the Projects. Specific statistical topics (tasks) will vary by Project, but concerns related to data reduction, classification and reliability studies are common to many of the Projects and will be managed through this Core.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-FAS-5 (J3))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California San Francisco
San Francisco
United States
Zip Code
Seo, Sang Won; Thibodeau, Marie-Pierre; Perry, David C et al. (2018) Early vs late age at onset frontotemporal dementia and frontotemporal lobar degeneration. Neurology 90:e1047-e1056
Santos-Santos, Miguel A; Rabinovici, Gil D; Iaccarino, Leonardo et al. (2018) Rates of Amyloid Imaging Positivity in Patients With Primary Progressive Aphasia. JAMA Neurol 75:342-352
Bergeron, David; Gorno-Tempini, Maria L; Rabinovici, Gil D et al. (2018) Prevalence of amyloid-? pathology in distinct variants of primary progressive aphasia. Ann Neurol 84:729-740
Björkhem, Ingemar; Patra, Kalicharan; Boxer, Adam L et al. (2018) 24S-Hydroxycholesterol Correlates With Tau and Is Increased in Cerebrospinal Fluid in Parkinson's Disease and Corticobasal Syndrome. Front Neurol 9:756
Pottier, Cyril; Zhou, Xiaolai; Perkerson 3rd, Ralph B et al. (2018) Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study. Lancet Neurol 17:548-558
Theofilas, Panos; Ehrenberg, Alexander J; Nguy, Austin et al. (2018) Probing the correlation of neuronal loss, neurofibrillary tangles, and cell death markers across the Alzheimer's disease Braak stages: a quantitative study in humans. Neurobiol Aging 61:1-12
Eser, Rana A; Ehrenberg, Alexander J; Petersen, Cathrine et al. (2018) Selective Vulnerability of Brainstem Nuclei in Distinct Tauopathies: A Postmortem Study. J Neuropathol Exp Neurol 77:149-161
Burette, Alain C; Judson, Matthew C; Li, Alissa N et al. (2018) Subcellular organization of UBE3A in human cerebral cortex. Mol Autism 9:54
Deleon, Jessica; Miller, Bruce L (2018) Frontotemporal dementia. Handb Clin Neurol 148:409-430
Zakrzewski, Jessica J; Datta, Samir; Scherling, Carole et al. (2018) Deficits in physiological and self-conscious emotional response to errors in hoarding disorder. Psychiatry Res 268:157-164

Showing the most recent 10 out of 607 publications