The Biostatistics Core will serve as a resource and collaborator for all projects and pilots supported by the ADRC, and all other ADRC related research at Washington University except the research which is supported under the Program Project, Healthy Aging and Senile Dementia. In particular the Biostatistics core will consult on the statistical design of all projects and proposals and will consult on the applications of appropriate statistical methodological techniques for all analyses. Staff of the core will continue to be active collaborators in publications from all ADRC related research. The core will be responsible for collaboration in the design of all forms used and will maintain appropriate documentation including code books for all core forms. It will continue to maintain and further develop data entry/data management procedures which achieve the most cost effective computer utilization for the present and proposed studies, and will continue to enhance the administrative reporting of information from the data base. The staff of the core will work with investigators who are seeking to submit proposals in order to enhance the methodological and statistical integrity of the proposed studies. They will continue to work to enhance communication among ADRC investigators both at Washington University and through collaborations and electronic links with other Alzheimer investigators outside of the University. The staff of the core will also provide computer expertise, where appropriate, to facilitate the research, teaching and administrative roles of the other ADRC cores.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005681-13
Application #
5204521
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
13
Fiscal Year
1996
Total Cost
Indirect Cost
Joseph-Mathurin, Nelly; Su, Yi; Blazey, Tyler M et al. (2018) Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease. Alzheimers Dement (Amst) 10:669-677
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
Kaur, Antarpreet; Edland, Steven D; Peavy, Guerry M (2018) The MoCA-Memory Index Score: An Efficient Alternative to Paragraph Recall for the Detection of Amnestic Mild Cognitive Impairment. Alzheimer Dis Assoc Disord 32:120-124
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
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
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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
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
Kim, Sungsu; Maynard, Jason C; Strickland, Amy et al. (2018) Schwann cell O-GlcNAcylation promotes peripheral nerve remyelination via attenuation of the AP-1 transcription factor JUN. Proc Natl Acad Sci U S A 115:8019-8024

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