The Statistics and Health Economics Core of the San Francisco Treatment Research Center provides full and ongoing supports for three central and critical activities ofthe Center;data management, statistical, and economic analysis.
The specific aims are;(1) To provide data management by supplying structure, support, coordination and oversight for the collection, computer entry, and tracking of research data, including the security and integrity of all Center data. (2) To provide methodological consultation and biostatistical analyses for each component. (3) To conduct research into quantitative methods designed to enhance Center-wide research. (4) To assess the cost of innovative treatments and the impact of the innovations on other health care costs incurred, to value treatment outcomes using economic models and to combine these data in cost-effectiveness analyses. The Core will also take the lead on three planned studies of the complexity of types of cigarette smokers, a meta-analysis, and a cross-cutting economic study. By the very nature of our work this Core is intimately tied to the theme of the Center as a key resource for all proposed Center components including the cross-component studies. Research on continuing and complex treatment for complex patients requires the collection, management, and analysis of complex datasets. In concert with the theme we use rigorous methodology, much of it derived from clinical trials, combine efficacy and costeffectiveness analysis, do work that bridges the gap between treatment and services research and analyze relations between multiple risk factors, both as predictors and time dependent covariates. This Core supplies the quantitative activities of all component studies and integrates its work with the Scientific and Administrative Core.

Public Health Relevance

By analyzing the data collected by each ofthe studies of this Center, the component studies are able to achieve their specific aims. In this way, the public health impact of those studies is met through the work of this Core.

National Institute of Health (NIH)
National Institute on Drug Abuse (NIDA)
Specialized Center (P50)
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Special Emphasis Panel (ZDA1-EXL-T)
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University of California San Francisco
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Young-Wolff, Kelly C; Karan, Lori D; Prochaska, Judith J (2015) Electronic cigarettes in jails: a panacea or public health problem? JAMA Psychiatry 72:103-4
Ramo, Danielle E; Liu, Howard; Prochaska, Judith J (2015) A mixed-methods study of young adults' receptivity to using Facebook for smoking cessation: if you build it, will they come? Am J Health Promot 29:e126-35
Ramo, Danielle E; Young-Wolff, Kelly C; Prochaska, Judith J (2015) Prevalence and correlates of electronic-cigarette use in young adults: findings from three studies over five years. Addict Behav 41:142-7
Newville, Howard; Roley, Jason; Sorensen, James L (2015) Prescription medication misuse among HIV-infected individuals taking antiretroviral therapy. J Subst Abuse Treat 48:56-61
Martínez, Cristina; Guydish, Joseph; Le, Thao et al. (2015) Predictors of quit attempts among smokers enrolled in substance abuse treatment. Addict Behav 40:6-Jan
Nelson, J Craig; Baumann, Pierre; Delucchi, Kevin et al. (2014) A systematic review and meta-analysis of lithium augmentation of tricyclic and second generation antidepressants in major depression. J Affect Disord 168:269-75
Lisha, Nadra E; Carmody, Timothy P; Humfleet, Gary L et al. (2014) Reciprocal effects of alcohol and nicotine in smoking cessation treatment studies. Addict Behav 39:637-43
Webber, Whitney L; van Erp, Brianna; Stoddard, Pamela et al. (2014) Determinants of exposure to secondhand smoke among Vietnamese adults: California Vietnamese Adult Tobacco Use Survey, 2007-2008. Prev Chronic Dis 11:E81
Cochran, Bryan N; Flentje, Annesa; Heck, Nicholas C et al. (2014) Factors predicting development of opioid use disorders among individuals who receive an initial opioid prescription: mathematical modeling using a database of commercially-insured individuals. Drug Alcohol Depend 138:202-8
Satre, Derek D; Leibowitz, Amy S; Mertens, Jennifer R et al. (2014) Advising depression patients to reduce alcohol and drug use: factors associated with provider intervention in outpatient psychiatry. Am J Addict 23:570-5

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