The Data Management &Biostatistics Core (DMBC) will serve a key bridging function for the CIRNA, encompassing the fields of data management, clinical informatics and biostatistics. Developing a comprehensive approach will enable CIRNA investigators to utilize vast amounts of research and clinical data by creating unified data models, standardizing data interfaces, and capturing detailed """"""""metadata"""""""" for investigators'research projects. The members of the DMBC have demonstrated their ability to manage large-scale smoking cessation and neuroimaging projects, and to incorporate rigorous quality assurance procedures that ensure integrity, security and privacy of data.
The specific aims of the DMBC are: (1) To design and maintain a distributed data management system for CIRNA projects;(2) To create and maintain a data repository of genotypic and phenotypic data to facilitate cross-project analyses and data sharing within and outside the CIRNA;(3) To provide biostatistical support to CIRNA investigators;and (4) To develop new statistical methodologies in addiction research. This centralized strategy will increase efficiency and reduce the cost of undertaking the individual research projects.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Specialized Center (P50)
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Special Emphasis Panel (ZDA1-RXL-E)
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University of Pennsylvania
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Perkins, Kenneth A; Karelitz, Joshua L; Michael, Valerie C et al. (2016) Initial Evaluation of Fenofibrate for Efficacy in Aiding Smoking Abstinence. Nicotine Tob Res 18:74-8
Ashare, Rebecca L; Lerman, Caryn; Cao, Wen et al. (2016) Nicotine withdrawal alters neural responses to psychosocial stress. Psychopharmacology (Berl) 233:2459-67
Schnoll, Robert A; Hitsman, Brian; Blazekovic, Sonja et al. (2016) Longitudinal changes in smoking abstinence symptoms and alternative reinforcers predict long-term smoking cessation outcomes. Drug Alcohol Depend 165:245-52
Falcone, Mary; Cao, Wen; Bernardo, Leah et al. (2016) Brain Responses to Smoking Cues Differ Based on Nicotine Metabolism Rate. Biol Psychiatry 80:190-7
Strasser, Andrew A; Souprountchouk, Valentina; Kaufmann, Amanda et al. (2016) Nicotine Replacement, Topography, and Smoking Phenotypes of E-cigarettes. Tob Regul Sci 2:352-362
Ashare, R L; Kimmey, B A; Rupprecht, L E et al. (2016) Repeated administration of an acetylcholinesterase inhibitor attenuates nicotine taking in rats and smoking behavior in human smokers. Transl Psychiatry 6:e713
Forcelli, Patrick A; Turner, Jill R; Lee, Bridgin G et al. (2016) Anxiolytic- and antidepressant-like effects of the methadone metabolite 2-ethyl-5-methyl-3,3-diphenyl-1-pyrroline (EMDP). Neuropharmacology 101:46-56
Jain, Raka; Jhanjee, Sonali; Jain, Veena et al. (2015) Biochemical Validation of Self-Reported Smokeless Tobacco Abstinence among Smokeless Tobacco Users: Results from a Clinical Trial of Varenicline in India. J Psychoactive Drugs 47:331-5
Tsaur, Stephen; Strasser, Andrew A; Souprountchouk, Valentina et al. (2015) Time dependency of craving and response inhibition during nicotine abstinence. Addict Res Theory 23:205-212
Falcone, M; Bansal-Travers, M; Sanborn, P M et al. (2015) Awareness of FDA-mandated cigarette packaging changes among smokers of 'light' cigarettes. Health Educ Res 30:81-6

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