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.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG003991-30
Application #
8425011
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
2014-12-31
Budget Start
2013-01-01
Budget End
2013-12-31
Support Year
30
Fiscal Year
2013
Total Cost
$87,867
Indirect Cost
$30,060
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
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
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
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
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
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
Laurido-Soto, Osvaldo; Brier, Matthew R; Simon, Laura E et al. (2018) Patient characteristics and outcome associations in AMPA receptor encephalitis. J Neurol :
Peloso, Gina M; van der Lee, Sven J; International Genomics of Alzheimer's Project (IGAP) et al. (2018) Genetically elevated high-density lipoprotein cholesterol through the cholesteryl ester transfer protein gene does not associate with risk of Alzheimer's disease. Alzheimers Dement (Amst) 10:595-598
Armstrong, Richard A; McKee, Ann C; Stein, Thor D et al. (2018) Cortical degeneration in chronic traumatic encephalopathy and Alzheimer's disease neuropathologic change. Neurol Sci :
Sato, Chihiro; Barthélemy, Nicolas R; Mawuenyega, Kwasi G et al. (2018) Tau Kinetics in Neurons and the Human Central Nervous System. Neuron 98:861-864

Showing the most recent 10 out of 911 publications