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.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
1P01AG019724-01A1
Application #
6481087
Study Section
Special Emphasis Panel (ZAG1-FAS-5 (J3))
Project Start
2002-04-01
Project End
2007-03-31
Budget Start
Budget End
Support Year
1
Fiscal Year
2002
Total Cost
$89,550
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
073133571
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Miller, Zachary A; Rosenberg, Lynne; Santos-Santos, Miguel A et al. (2018) Prevalence of Mathematical and Visuospatial Learning Disabilities in Patients With Posterior Cortical Atrophy. JAMA Neurol 75:728-737
Rojas, Julio C; Stephens, Melanie L; Rabinovici, Gil D et al. (2018) Multiproteinopathy, neurodegeneration and old age: a case study. Neurocase 24:1-6
Dijkstra, Anke A; Lin, Li-Chun; Nana, Alissa L et al. (2018) Von Economo Neurons and Fork Cells: A Neurochemical Signature Linked to Monoaminergic Function. Cereb Cortex 28:131-144
Mok, Sue-Ann; Condello, Carlo; Freilich, Rebecca et al. (2018) Mapping interactions with the chaperone network reveals factors that protect against tau aggregation. Nat Struct Mol Biol 25:384-393
Erkkinen, Michael G; Zúñiga, Raquel Gutiérrez; Pardo, Cristóbal Carnero et al. (2018) Artistic Renaissance in Frontotemporal Dementia. JAMA 319:1304-1306
Schneider, Raphael; McKeever, Paul; Kim, TaeHyung et al. (2018) Downregulation of exosomal miR-204-5p and miR-632 as a biomarker for FTD: a GENFI study. J Neurol Neurosurg Psychiatry 89:851-858
Ljubenkov, Peter A; Staffaroni, Adam M; Rojas, Julio C et al. (2018) Cerebrospinal fluid biomarkers predict frontotemporal dementia trajectory. Ann Clin Transl Neurol 5:1250-1263
La Joie, Renaud; Bejanin, Alexandre; Fagan, Anne M et al. (2018) Associations between [18F]AV1451 tau PET and CSF measures of tau pathology in a clinical sample. Neurology 90:e282-e290
Kim, Eun-Joo; Brown, Jesse A; Deng, Jersey et al. (2018) Mixed TDP-43 proteinopathy and tauopathy in frontotemporal lobar degeneration: nine case series. J Neurol 265:2960-2971
Henry, Maya L; Hubbard, H Isabel; Grasso, Stephanie M et al. (2018) Retraining speech production and fluency in non-fluent/agrammatic primary progressive aphasia. Brain 141:1799-1814

Showing the most recent 10 out of 607 publications