Abstract

The goal of the Data Management and Biostatistics Core is to provide statistical and study design support to achieve the overall goal of PANUC;Understanding basic mechanisms that underiie cognitive impairment in PD. To achieve this goal, the Data Management and Biostatistics Core has the following four specific aims:
Aim 1. Enhance research productivity by serving a coordinating role for database development, data cleaning and organization for individual projects.
Aim 2. Facilitate conduct of PANUC projects by providing statistical and methodological support, data analysis and interpretation of results.
Aim 3. Foster collaborative research by facilitating data sharing across PANUC projects.
Aim 4. Facilitate dissemination of study results by assisting in manuscript development and preparation, and in organizing and preparing data for submission to national repositories and databases as required by NIH.

Public Health Relevance

(See Instructions): It is imperative that data management is well organized and that appropriate statistical methods are applied to ensure valid and meaningful results. The Data Management and Biostatistics Core (Core D) will provide this expertise to the Pacific Northwest Udall Center (PANUC), and will play a crucial role in discovering and investigating the mechanisms that underiie cognitive impairment in PD.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Specialized Center (P50)
Project #
5P50NS062684-04
Application #
8382347
Study Section
National Institute of Neurological Disorders and Stroke Initial Review Group (NSD)
Project Start
Project End
Budget Start
2012-08-01
Budget End
2013-07-31
Support Year
4
Fiscal Year
2012
Total Cost
$227,310
Indirect Cost
$68,336

  Institution

Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195

  Publications

Flanagan, Margaret E; Cholerton, Brenna; Latimer, Caitlin S et al. (2018) TDP-43 Neuropathologic Associations in the Nun Study and the Honolulu-Asia Aging Study. J Alzheimers Dis 66:1549-1558
Gray, Shelly L; Anderson, Melissa L; Hanlon, Joseph T et al. (2018) Exposure to Strong Anticholinergic Medications and Dementia-Related Neuropathology in a Community-Based Autopsy Cohort. J Alzheimers Dis 65:607-616
Moreno, Monica A; Or-Geva, Noga; Aftab, Blake T et al. (2018) Molecular signature of Epstein-Barr virus infection in MS brain lesions. Neurol Neuroimmunol Neuroinflamm 5:e466
Condello, Carlo; Lemmin, Thomas; Stöhr, Jan et al. (2018) Structural heterogeneity and intersubject variability of A? in familial and sporadic Alzheimer's disease. Proc Natl Acad Sci U S A 115:E782-E791
Locke, Timothy M; Soden, Marta E; Miller, Samara M et al. (2018) Dopamine D1 Receptor-Positive Neurons in the Lateral Nucleus of the Cerebellum Contribute to Cognitive Behavior. Biol Psychiatry 84:401-412
Cholerton, Brenna; Johnson, Catherine O; Fish, Brian et al. (2018) Sex differences in progression to mild cognitive impairment and dementia in Parkinson's disease. Parkinsonism Relat Disord 50:29-36
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
Houser, Madelyn C; Chang, Jianjun; Factor, Stewart A et al. (2018) Stool Immune Profiles Evince Gastrointestinal Inflammation in Parkinson's Disease. Mov Disord 33:793-804
Irwin, David J; Grossman, Murray; Weintraub, Daniel et al. (2017) Neuropathological and genetic correlates of survival and dementia onset in synucleinopathies: a retrospective analysis. Lancet Neurol 16:55-65
Lee, Adél; Särkkä, Aila; Madhyastha, Tara M et al. (2017) Characterizing cross-subject spatial interaction patterns in functional magnetic resonance imaging studies: A two-stage point-process model. Biom J 59:1352-1381

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