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 #
5P01AG003991-28
Application #
8215301
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2011-01-01
Budget End
2011-12-31
Support Year
28
Fiscal Year
2011
Total Cost
$73,767
Indirect Cost
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
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
Kinnunen, Kirsi M; Cash, David M; Poole, Teresa et al. (2018) Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial magnetic resonance imaging study. Alzheimers Dement 14:43-53
Brainstorm Consortium (see original citation for additional authors) (2018) Analysis of shared heritability in common disorders of the brain. Science 360:
Schultz, Stephanie A; Gordon, Brian A; Mishra, Shruti et al. (2018) Widespread distribution of tauopathy in preclinical Alzheimer's disease. Neurobiol Aging 72:177-185
Ibanez, Laura; Dube, Umber; Davis, Albert A et al. (2018) Pleiotropic Effects of Variants in Dementia Genes in Parkinson Disease. Front Neurosci 12:230
Javaherian, Kavon; Newman, Brianne M; Weng, Hua et al. (2018) Examining the Complicated Relationship Between Depressive Symptoms and Cognitive Impairment in Preclinical Alzheimer Disease. Alzheimer Dis Assoc Disord :
Broce, Iris; Karch, Celeste M; Wen, Natalie et al. (2018) Correction: Immune-related genetic enrichment in frontotemporal dementia: An analysis of genome-wide association studies. PLoS Med 15:e1002504
Jansen, Willemijn J; Ossenkoppele, Rik; Tijms, Betty M et al. (2018) Association of Cerebral Amyloid-? Aggregation With Cognitive Functioning in Persons Without Dementia. JAMA Psychiatry 75:84-95
Liao, Fan; Li, Aimin; Xiong, Monica et al. (2018) Targeting of nonlipidated, aggregated apoE with antibodies inhibits amyloid accumulation. J Clin Invest 128:2144-2155

Showing the most recent 10 out of 911 publications