Biostatistics, Epidemiology, and Research Design (BERD) expertise is essential to the successful conduct of clinical and translational (CT) studies. Due to extraordinary recent advancement in computational capabilities and data-driven decision processes, there has been significant growth in the number of statistical techniques and research design methodology for CT studies. The Data Management and Statistical Core (DSMC) will collaborate with the P01 investigators on the proposed projects by leveraging resources to provide study design, data management, and statistical support.
DMSC specific aims i nclude: 1. To provide research design and methodological support in the planning, conduct, and analysis of data from all proposed projects. 2. To establish and monitor systems for data collection, management, processing, quality control, data assurance, security, communication, documentation, and long term storage of data. 3. To provide statistical analysis support for researchers in this study and develop innovative study design solutions for complex study designs, encourage collaboration across studies, facilitate publications, and disseminate findings In achieving these aims, our DMSC will ensure timeliness and consistency across studies with respect to standardization of data collection forms, data entry, data cleaning, conducting data quality checks and setting up procedures for reporting and analyzing data. Our DMSC will be responsible for the overall data management, quality assurance procedures, study design and statistical analysis of the data as well as be the long-term repository of the data. Furthermore, the faculty in the DMSC will have an excellent opportunity to implement methodological improvements for conducting complex clinical and genetic studies. Database design and computer program development will be conducted in accordance with accepted best practices.
Biostatistics, Epidemiology, and Research Design (BERD) expertise is essential to the successful conduct of clinical and translational studies. This DMSC will provide research design and methodological support for the four projects in this application using a a distributed team approach with a central core of biostatistics, bioinformatics, and database expertise with support from personnel in Administrative Core A.
|Jamalyaria, Farokh; Ward, Michael M; Assassi, Shervin et al. (2017) Ethnicity and disease severity in ankylosing spondylitis a cross-sectional analysis of three ethnic groups. Clin Rheumatol 36:2359-2364|
|Dau, Jonathan D; Lee, MinJae; Ward, Michael M et al. (2017) Opioid Analgesic Use in Patients with Ankylosing Spondylitis: An Analysis of the Prospective Study of Outcomes in an Ankylosing Spondylitis Cohort. J Rheumatol :|
|Kehl, Amy S; Corr, Maripat; Weisman, Michael H (2016) Review: Enthesitis: New Insights Into Pathogenesis, Diagnostic Modalities, and Treatment. Arthritis Rheumatol 68:312-22|
|Cortes, A; Maksymowych, W P; Wordsworth, B P et al. (2015) Association study of genes related to bone formation and resorption and the extent of radiographic change in ankylosing spondylitis. Ann Rheum Dis 74:1387-93|
|Robinson, Philip C; Claushuis, Theodora A M; Cortes, Adrian et al. (2015) Genetic dissection of acute anterior uveitis reveals similarities and differences in associations observed with ankylosing spondylitis. Arthritis Rheumatol 67:140-51|
|Kiltz, U; van der Heijde, D; Boonen, A et al. (2015) Development of a health index in patients with ankylosing spondylitis (ASAS HI): final result of a global initiative based on the ICF guided by ASAS. Ann Rheum Dis 74:830-5|
|Cortes, Adrian; Pulit, Sara L; Leo, Paul J et al. (2015) Major histocompatibility complex associations of ankylosing spondylitis are complex and involve further epistasis with ERAP1. Nat Commun 6:7146|
|Robinson, Philip C; Costello, Mary-Ellen; Leo, Paul et al. (2015) ERAP2 is associated with ankylosing spondylitis in HLA-B27-positive and HLA-B27-negative patients. Ann Rheum Dis 74:1627-9|
|Reveille, John D (2015) Biomarkers for diagnosis, monitoring of progression, and treatment responses in ankylosing spondylitis and axial spondyloarthritis. Clin Rheumatol 34:1009-18|
|Thom, Nicole; Ritchlin, Christopher T; Zhang, Xiao et al. (2015) Prevalence of chronic axial pain, inflammatory back pain, and spondyloarthritis in diagnosed psoriasis. Arthritis Care Res (Hoboken) 67:829-35|
Showing the most recent 10 out of 53 publications