The Data Management and Statistical Analysis Core (DMSAC) is designed to serve as a centralized mechanism for ensuring the quality and integrity of data collection, processing and archiving, and the appropriate statistical analysis and reporting of all Center of Excellence in Research in Complementary and Alternative Medicine (CERC) studies. The DMSAC will consist of two interacting components, the Data Management Center (DMC) and the Statistical Analysis Component (SAC) The DMSAC investigators will: ? Participate as collaborating investigators in the development and conduct of the three projects ? Facilitate development of study protocols ? Provide the infrastructure necessary to support the conduct, and monitor performance of, the studies ? Design data collection and management systems and prepare and maintain study databases ? Provide timely and expert interim and final statistical analyses of accumulated data ? Participate in the preparation of scientific reports and manuscripts.

Agency
National Institute of Health (NIH)
Institute
National Center for Complementary & Alternative Medicine (NCCAM)
Type
Research Program Projects (P01)
Project #
5P01AT002605-05
Application #
7910400
Study Section
Special Emphasis Panel (ZAT1)
Project Start
Project End
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
5
Fiscal Year
2009
Total Cost
$235,394
Indirect Cost
Name
University of Maryland Baltimore
Department
Type
DUNS #
188435911
City
Baltimore
State
MD
Country
United States
Zip Code
21201
Dudics, Steven; Langan, David; Meka, Rakeshchandra R et al. (2018) Natural Products for the Treatment of Autoimmune Arthritis: Their Mechanisms of Action, Targeted Delivery, and Interplay with the Host Microbiome. Int J Mol Sci 19:
Lao, L; Hochberg, M; Lee, D Y W et al. (2015) Huo-Luo-Xiao-Ling (HLXL)-Dan, a Traditional Chinese Medicine, for patients with osteoarthritis of the knee: a multi-site, randomized, double-blind, placebo-controlled phase II clinical trial. Osteoarthritis Cartilage 23:2102-2108
Zhang, Ruixin; Lao, Lixing; Ren, Ke et al. (2014) Mechanisms of acupuncture-electroacupuncture on persistent pain. Anesthesiology 120:482-503
Zhang, Ruixin; Lao, Lixing; Ren, Ke et al. (2014) In reply. Anesthesiology 121:662-3
Zhang, R-X; Zhang, M; Li, A et al. (2013) DAMGO in the central amygdala alleviates the affective dimension of pain in a rat model of inflammatory hyperalgesia. Neuroscience 252:359-66
Zhang, R-X; Ren, K; Dubner, R (2013) Osteoarthritis pain mechanisms: basic studies in animal models. Osteoarthritis Cartilage 21:1308-15
Meng, Xianze; Zhang, Yu; Lao, Lixing et al. (2013) Spinal interleukin-17 promotes thermal hyperalgesia and NMDA NR1 phosphorylation in an inflammatory pain rat model. Pain 154:294-305
Lao, Lixing; Huang, Yi; Feng, Chiguang et al. (2012) Evaluating traditional Chinese medicine using modern clinical trial design and statistical methodology: application to a randomized controlled acupuncture trial. Stat Med 31:619-27
Zhang, Y; Zhang, R X; Zhang, M et al. (2012) Electroacupuncture inhibition of hyperalgesia in an inflammatory pain rat model: involvement of distinct spinal serotonin and norepinephrine receptor subtypes. Br J Anaesth 109:245-52
Zhang, Y; Meng, X; Li, A et al. (2012) Electroacupuncture alleviates affective pain in an inflammatory pain rat model. Eur J Pain 16:170-81

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