Abstract

The Biostatistics Core will continue to serve as a resource and collaborator for all Projects and Cores related to this Program Project. Specifically the Biostatistics Core will: (1) consult on the statistical design of all Projects and in the appropriate statistical and methodological techniques of all Cores and Projects;(2) lead in data analysis activities and collaborate in report preparation for all Cores and Projects;(3) collaborate in the design of all forms to be used;(4) continue to implement and 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; and (6) develop, apply, and implement novel statistical data analysis techniques appropriate for addressing the scientific aims of the Program Project.

Public Health Relevance

Core C: Biostatistics Project Narrative As instructed by the funding opportunity announcement for this application (PAR-13-329), only the Overall component contains a project narrative. Cores and projects were instructed not to include this section.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
2P01AG003991-31A1
Application #
8739012
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (M1))
Project Start
Project End
2019-04-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
31
Fiscal Year
2014
Total Cost
$135,586
Indirect Cost
$46,677

  Institution

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

  Publications

Sutphen, Courtney L; McCue, Lena; Herries, Elizabeth M et al. (2018) Longitudinal decreases in multiple cerebrospinal fluid biomarkers of neuronal injury in symptomatic late onset Alzheimer's disease. Alzheimers Dement 14:869-879
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Lancour, Daniel; Naj, Adam; Mayeux, Richard et al. (2018) One for all and all for One: Improving replication of genetic studies through network diffusion. PLoS Genet 14:e1007306
Li, Zeran; Del-Aguila, Jorge L; Dube, Umber et al. (2018) Genetic variants associated with Alzheimer's disease confer different cerebral cortex cell-type population structure. Genome Med 10:43
Blaiotta, Claudia; Freund, Patrick; Cardoso, M Jorge et al. (2018) Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. Neuroimage 166:117-134
Schindler, Suzanne E; Sutphen, Courtney L; Teunissen, Charlotte et al. (2018) Upward drift in cerebrospinal fluid amyloid ? 42 assay values for more than 10 years. Alzheimers Dement 14:62-70
Gabel, Matthew; Gooblar, Jonathan; Roe, Catherine M et al. (2018) Political Ideology, Confidence in Science, and Participation in Alzheimer Disease Research Studies. Alzheimer Dis Assoc Disord 32:179-184
Blue, Elizabeth E; Bis, Joshua C; Dorschner, Michael O et al. (2018) Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer's Disease Sequencing Project. Dement Geriatr Cogn Disord 45:1-17
Roe, Catherine M; Babulal, Ganesh M; Mishra, Shruti et al. (2018) Tau and Amyloid Positron Emission Tomography Imaging Predict Driving Performance Among Older Adults with and without Preclinical Alzheimer's Disease. J Alzheimers Dis 61:509-513
Rao, Shuquan; Ghani, Mahdi; Guo, Zhiyun et al. (2018) An APOE-independent cis-eSNP on chromosome 19q13.32 influences tau levels and late-onset Alzheimer's disease risk. Neurobiol Aging 66:178.e1-178.e8

Showing the most recent 10 out of 911 publications