Background. To address our increasing and broad spectrum of clinical research activities, we present a Methodology Core built upon statistical and epidemiological expertise and extensive experience in outcomes research and economic evaluations. Objectives. The continued long-term goal of the Methodology Core is to be the focal point for state-of-the-art clinical and translational research in arthritis and musculoskeletal disease (MSD) locally, regionally, and nationally. Towards this vision, the Methodology Core has four primary objectives: (1) to conduct cutting-edge research in arthritis and MSD by providing statistical, epidemiological, outcomes, and health service expertise and leadership;(2) to support data collection, management, and analytic efforts of the four MCRC projects;(3) to develop original research in methodology applicable to clinical research in arthritis and MSD;and (4) to nurture and support new investigators in arthritis and MSD. Methods. We have recruited key personnel with expertise in statistics, statistical genetics, epidemiology, quality of life assessment, quality of care measurement, and economic evaluation. The four MCRC projects, designed by their Pis and collaborating Methodology Core faculty, will draw upon the vast expertise contained within the Methodology Core in the conducting of their research. While 80% of requested resources are devoted to directly meeting the design, analysis, and data management needs of the four projects, we will also play a key role in the scientific development program of the MCRC through structured teaching activities, pro-active consultation with research base scientists in the development of new projects, and original contributions to the methods applicable to clinical research in MSD. We provide two new examples of innovative future projects that will be feasible because of the existing synergism between content and methodological expertise made possible through the Methodology Core. Included in our application are mechanisms for prioritization and cost reimbursement for future projects. We have maximized use of existing Centers and scientific capabilities at UAB, thus drawing on a pool of methodologists, which would be impossible to assemble if only MCRC resources were available. Significance. By virtue of its interdisciplinary and dynamic infrastructure, the Methodology Core's contribution will exceed the benefits received by the four MCRC projects and will reach throughout the MCRC research base.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Comprehensive Center (P60)
Project #
5P60AR048095-09
Application #
8304149
Study Section
Special Emphasis Panel (ZAR1)
Project Start
2011-07-01
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2012-06-30
Support Year
9
Fiscal Year
2011
Total Cost
$220,257
Indirect Cost
Name
University of Alabama Birmingham
Department
Type
DUNS #
063690705
City
Birmingham
State
AL
Country
United States
Zip Code
35294
Deshane, Jessy S; Redden, David T; Zeng, Meiqin et al. (2015) Subsets of airway myeloid-derived regulatory cells distinguish mild asthma from chronic obstructive pulmonary disease. J Allergy Clin Immunol 135:413-424.e15
Li, Peng; Redden, David T (2015) Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes. Stat Med 34:281-96
Danila, M I; Westfall, A O; Raman, K et al. (2015) The role of genetic variants in CRP in radiographic severity in African Americans with early and established rheumatoid arthritis. Genes Immun 16:446-51
Li, Peng; Redden, David T (2015) Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials. BMC Med Res Methodol 15:38
Tang, Qi; Danila, Maria I; Cui, Xiangqin et al. (2015) Expression of Interferon-? Receptor Genes in Peripheral Blood Mononuclear Cells Is Associated With Rheumatoid Arthritis and Its Radiographic Severity in African Americans. Arthritis Rheumatol 67:1165-70
Bruce, Ian N; O'Keeffe, Aidan G; Farewell, Vern et al. (2015) Factors associated with damage accrual in patients with systemic lupus erythematosus: results from the Systemic Lupus International Collaborating Clinics (SLICC) Inception Cohort. Ann Rheum Dis 74:1706-13
Yang, Celeste; Bartolucci, Alfred A; Cui, Xiangqin (2015) Multigroup Equivalence Analysis for High-Dimensional Expression Data. Cancer Inform 14:253-63
Aslibekyan, S; Brown, E E; Reynolds, R J et al. (2014) Genetic variants associated with methotrexate efficacy and toxicity in early rheumatoid arthritis: results from the treatment of early aggressive rheumatoid arthritis trial. Pharmacogenomics J 14:48-53
Yan, Qi; Tiwari, Hemant K; Yi, Nengjun et al. (2014) Kernel-machine testing coupled with a rank-truncation method for genetic pathway analysis. Genet Epidemiol 38:447-56
Li, Xinrui; Kimberly, Robert P (2014) Targeting the Fc receptor in autoimmune disease. Expert Opin Ther Targets 18:335-50

Showing the most recent 10 out of 70 publications