The Biostatistics Core (Core C) will bridge the transition from the DIAN database stored and managed by the Informatics Core (Core H) to the analyses of the longitudinal data within, between, and among the various data domains, the latter of which serves as the primary responsibility of the Core. Specifically the Biostatistics Core will: (1) oversee the statistical quality control of data for the study and produce appropriately de-identified and statistically analyzable datasets for distribution/analysis;(2) lead the statistical data analyses and collaborate in report preparation for all Cores and projects, and consult on the design of all projects and on the application of appropriate statistical and methodological techniques;(3) develop and implement appropriate statistical models for longitudinal changes in potential markers and use these models to test the statistical hypotheses about the preclinical changes of AD and about the temporal difference on preclinical changes of AD among various markers, and (4) serve as an advisory group for other researchers interested in using the DIAN database for additional analyses. The Biostatistics core will achieve these specific aims through extensive interactions and collaborations with all other components of DIAN.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Research Program--Cooperative Agreements (U19)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-ZIJ-1)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Washington University
Saint Louis
United States
Zip Code
Su, Yi; Blazey, Tyler M; Snyder, Abraham Z et al. (2015) Partial volume correction in quantitative amyloid imaging. Neuroimage 107:55-64
Fagan, Anne M; Xiong, Chengjie; Jasielec, Mateusz S et al. (2014) Longitudinal change in CSF biomarkers in autosomal-dominant Alzheimer's disease. Sci Transl Med 6:226ra30
Xiong, Chengjie; Luo, Jingqin; Gao, Feng et al. (2014) Optimizing parameters in clinical trials with a randomized start or withdrawal design. Comput Stat Data Anal 69:101-113
Brier, Matthew R; Thomas, Jewell B; Snyder, Abraham Z et al. (2014) Unrecognized preclinical Alzheimer disease confounds rs-fcMRI studies of normal aging. Neurology 83:1613-9
Xiong, Chengjie; Weng, Hua; Bennett, David A et al. (2014) Subsets of a large cognitive battery better power clinical trials on early stage Alzheimer's disease. Neuroepidemiology 43:131-9
Storandt, Martha; Balota, David A; Aschenbrenner, Andrew J et al. (2014) Clinical and psychological characteristics of the initial cohort of the Dominantly Inherited Alzheimer Network (DIAN). Neuropsychology 28:19-29
Ting, Simon Kang Seng; Benzinger, Tammie; Kepe, Vladimir et al. (2014) A novel PSEN1 mutation (I238M) associated with early-onset Alzheimer's disease in an African-American woman. J Alzheimers Dis 40:271-5
Gordon, Brian A; Blazey, Tyler; Benzinger, Tammie Ls (2014) Regional variability in Alzheimer's disease biomarkers. Future Neurol 9:131-134
Ryman, Davis C; Acosta-Baena, Natalia; Aisen, Paul S et al. (2014) Symptom onset in autosomal dominant Alzheimer disease: a systematic review and meta-analysis. Neurology 83:253-60
Dobrowolska, Justyna A; Kasten, Tom; Huang, Yafei et al. (2014) Diurnal patterns of soluble amyloid precursor protein metabolites in the human central nervous system. PLoS One 9:e89998

Showing the most recent 10 out of 20 publications