The Statistical Methods and Bioinformatics (SMBI) Core will focus on the creation, analysis, and management of the data produced by the Washington University TREC Center thus playing a key role in integrating research in biological, behavioral, environmental, and social factors that influence obesity and its linkage to cancer outcomes. The SMBI Core has two primary activities: data management and data analysis. For the first, the Core will leverage existing University resources, which provide an infrastructure of clinical and translational research information systems (IS), to advance TREC research projects, support data sharing, and enhance capacity to link with the TREC Coordination Center. These resources centralize and integrate standards-based management for data sharing at the institutional level and with national and international biomedical research organizations.
Specific Aims of the core are:
Aim 1 : To enhance data management capacity of the Washington University TREC by leverage existing University resources, which provide an infrastructure of clinical and translational research information systems (IS), to advance TREC research projects, support data sharing, and enhance capacity to link with the TREC Coordination Center.
Aim 2 : To advance data analysis function within individual TREC research projects and across the TREC projects through critical application of innovative data planning and statistical methods throughout all stages of research from planning to analysis to dissemination and implementation
|Clark, B Ruth; Uhrich, Mary L; Dill, Tiffany C et al. (2018) Failure to meet aerobic fitness standards among urban elementary students. Prev Med Rep 12:330-335|
|Owuor, Theresa O; Reid, Michaela; Reschke, Lauren et al. (2018) Maternal obesogenic diet induces endometrial hyperplasia, an early hallmark of endometrial cancer, in a diethylstilbestrol mouse model. PLoS One 13:e0186390|
|Yang, Lin; Hu, Liang; Hipp, J Aaron et al. (2018) Cross-sectional associations of active transport, employment status and objectively measured physical activity: analyses from the National Health and Nutrition Examination Survey. J Epidemiol Community Health 72:764-769|
|Goodman, Melody; Lyons, Sarah; Dean, Lorraine T et al. (2018) How Segregation Makes Us Fat: Food Behaviors and Food Environment as Mediators of the Relationship Between Residential Segregation and Individual Body Mass Index. Front Public Health 6:92|
|Chang, S-H; Freeman, N L B; Lee, J A et al. (2018) Early major complications after bariatric surgery in the USA, 2003-2014: a systematic review and meta-analysis. Obes Rev 19:529-537|
|Dodson, Elizabeth A; Hipp, J Aaron; Lee, Jung Ae et al. (2018) Does Availability of Worksite Supports for Physical Activity Differ by Industry and Occupation? Am J Health Promot 32:517-526|
|Dean, Lorraine T; Gehlert, Sarah; Neuhouser, Marian L et al. (2018) Social factors matter in cancer risk and survivorship. Cancer Causes Control 29:611-618|
|Park, Yikyung; Peterson, Lindsay L; Colditz, Graham A (2018) The Plausibility of Obesity Paradox in Cancer-Point. Cancer Res 78:1898-1903|
|Smith, Lee; Ae Lee, Jung; Mun, Junbae et al. (2018) Levels and patterns of self-reported and objectively-measured free-living physical activity among prostate cancer survivors: A prospective cohort study. Cancer :|
|Quante, Mirja; Mariani, Sara; Weng, Jia et al. (2018) Zeitgebers and their association with rest-activity patterns. Chronobiol Int :1-11|
Showing the most recent 10 out of 110 publications