The Data Management and Statistics (DMS) Core (Core C) will provide support for The University of Kansas Alzheimer's Disease Core Center (KU ADCC). The DMS Core personnel are faculty and staff of the Department of Biostatistics with the training and experience to support the research needs investigators that will utilized the KU ADCC. The central focus of this core is managing and maintaining the entire spectrum of study-related information for the Clinical Cohort that is collected across the cores and research projects. To support this objective, we will utilize our web-based Comprehensive Research Information System, or CRIS. We will also support Alzheimer's Disease research by providing statistical expertise for projects that utilize the KU ADCC. Thus, the DMS Core has the following specific aims.
Aim 1 : Develop Data and Information Management and Monitoring Systems. We will provide support systems to KU ADCC cores and research projects. We will provide data to investigators and to the National Alzheimer's Disease Coordinating Center.
Aim 2 : Provide Statistical Expertise for ADCC Projects. The DMS Core will support the design, statistical oversight, and analysis of study data for KU ADCC projects. This will include participation in study presentations and publications. When needed, the DMS Core will also develop novel statistical methodology to ensure the appropriate characterization of study data.
Aim 3 : Provide a Liaison between Cores with Other Cores and Research Projects. Much of the activity in and with the KU ADCC will involve data collected by the KU ADCC, data management, information management, and/or statistical support. This intersection of the DMS Core across the KU ADCC make it a natural liaison for core-to-core and core-to-investigator activities.

Public Health Relevance

In most research, proper data management and use of statistics are critical to the proper interpretation of study results. The Data Management and Statistics Core (Core C) strives to: provide the highest quality, cutting-edge study design;perform accurate power and sample size calculations;conduct appropriate analyses of data;and provide the data management and informatics support to aid in Alzheimer's research.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Center Core Grants (P30)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Kansas
Kansas City
United States
Zip Code
Burke, Shanna L; Maramaldi, Peter; Cadet, Tamara et al. (2018) Decreasing hazards of Alzheimer's disease with the use of antidepressants: mitigating the risk of depression and apolipoprotein E. Int J Geriatr Psychiatry 33:200-211
Menta, Blaise W; Swerdlow, Russell H (2018) An Integrative Overview of Non-Amyloid and Non-Tau Pathologies in Alzheimer's Disease. Neurochem Res :
Deng, Yue; Jiang, Beichen; Rankin, Carolyn L et al. (2018) Methionine sulfoxide reductase A (MsrA) mediates the ubiquitination of 14-3-3 protein isotypes in brain. Free Radic Biol Med 129:600-607
Ptomey, Lauren T; Szabo, Amanda N; Willis, Erik A et al. (2018) Remote Exercise for Adults with Down Syndrome. Transl J Am Coll Sports Med 3:60-65
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
Perales, Jaime; Hinton, Ladson; Burns, Jeffrey et al. (2018) Cardiovascular health and cognitive function among Mexican older adults: cross-sectional results from the WHO Study on Global Ageing and Adult Health. Int Psychogeriatr 30:1827-1836
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Perales, Jaime; Moore, W Todd; Fernandez, Cielo et al. (2018) Feasibility of an Alzheimer's disease knowledge intervention in the Latino community. Ethn Health :1-12
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Gupta, Aditi; Thomas, Tashra S; Klein, Jeffrey A et al. (2018) Discrepancies between Perceived and Measured Cognition in Kidney Transplant Recipients: Implications for Clinical Management. Nephron 138:22-28

Showing the most recent 10 out of 333 publications