Abstract

The Biostatistics Core will continue to serve as a resource and collaborator for all projects and cores related to this program project. The Biostatistics Core personnel are responsible for overseeing data acquisition, for the implementation of all software for data entry and data management tasks, and for training the appropriate personnel. They are also responsible for collaborating with investigators and their staff in monitoring the data acquisition process to identify potential sources of problems and recommend changes. The Biostatistics Core will take a lead in all of the cross-project data analyses outlined in the proposals. Specifically the Biostatistics Core will: 1. Consult on the design of all projects and consult in the application of appropriate statistical and methodological techniques. 2. Collaborate in data analysis and report preparation for all cores and projects. 3. Collaborate in the design of all forms to be used. 4. Continue to support data entry and data management procedures to achieve cost-effective computer use. 5. Facilitate access by all investigators to data collected by the cores. 6. Develop, apply, and implement appropriate statistical data analysis techniques for combining the cross-sectional and longitudinal data that have been gathered.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG003991-27
Application #
8040957
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2010-01-01
Budget End
2010-12-31
Support Year
27
Fiscal Year
2010
Total Cost
$125,904
Indirect Cost

  Institution

Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130

  Publications

Roe, Catherine M; Babulal, Ganesh M; Stout, Sarah H et al. (2018) Using the A/T/N Framework to Examine Driving in Preclinical AD. Geriatrics (Basel) 3:
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
Suárez-Calvet, Marc; Capell, Anja; Araque Caballero, Miguel Ángel et al. (2018) CSF progranulin increases in the course of Alzheimer's disease and is associated with sTREM2, neurodegeneration and cognitive decline. EMBO Mol Med 10:
Swarup, Vivek; Hinz, Flora I; Rexach, Jessica E et al. (2018) Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia. Nat Med :
Besser, Lilah; Kukull, Walter; Knopman, David S et al. (2018) Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord 32:351-358
Bussy, Aurélie; Snider, B Joy; Coble, Dean et al. (2018) Effect of apolipoprotein E4 on clinical, neuroimaging, and biomarker measures in noncarrier participants in the Dominantly Inherited Alzheimer Network. Neurobiol Aging 75:42-50
Su, Yi; Flores, Shaney; Hornbeck, Russ C et al. (2018) Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies. Neuroimage Clin 19:406-416
Kawamura, Naoki; Yokota, Tatsuya; Hontani, Hidekata (2018) Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting. Int J Biomed Imaging 2018:9262847
Cruchaga, Carlos; Del-Aguila, Jorge L; Saef, Benjamin et al. (2018) Polygenic risk score of sporadic late-onset Alzheimer's disease reveals a shared architecture with the familial and early-onset forms. Alzheimers Dement 14:205-214
Maxwell, Taylor J; Corcoran, Chris; Del-Aguila, Jorge L et al. (2018) Genome-wide association study for variants that modulate relationships between cerebrospinal fluid amyloid-beta 42, tau, and p-tau levels. Alzheimers Res Ther 10:86

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