ACRIN

Biostatistics and Data Management Center of the American College of Radiology Imaging Network (ACRIN)


Biostatistics Core, Center for AIDS Research

Faculty: Hogan, Wu

Staff: DeLong

Students: Mwangi

Joseph Hogan directs Biostatistics core operations for the Lifespan/Tufts/Brown Center for AIDS Research (CFAR) http://www2.lifespan.org/cfar/. This involves providing scientific input as it pertains to design and analysis for a variety of studies of HIV and AIDS. Many of these are observational cohort studies whose analyses require use of methodology for longitudinal data, missing data, and adjustment for confounding (e.g. causal inference). Full time CSS personnel involved in this work include faculty member Joseph Hogan and staff Biostatistician Allison DeLong.



Transdisciplinary Tobacco Use Research Center (TTURC)

Faculty: Papandonatos

George Papandonatos is director of the Biostatistics Core of the TTURC project (David Abrams, PI). The major goal of this project is to identify modifiable risk factors that can serve as targets for prevention and that may be harnessed to enhance smoking prevention and cessation treatment success. To this end, we aim to:

  1. Integrate multiple disciplinary perspectives and research methods from basic science to applications including

    1. longitudinal natural history research (developmental epidemiology);

    2. familial aggregation methods (genetic epidemiology);

    3. human laboratory studies;

    4. intervention trials;

  2. Adopt a lifespan transgenerational genetic epidemiological approach to help understand risk factors for and causal pathways of:

    1. progression of nicotine dependence among youth;

    2. patterns of adult smoking;

    3. the natural course of smoking cessation;

    4. response to treatment;

  3. Document the potential utility and cost-effectiveness of a sustained "care management" approach to treating smokers that addresses smokers' risk profiles (from relatively uncomplicated to multiple comorbidities) with a range of treatment options that vary along dimensions of intensity and modality of intervention;

  4. Collect and preserve DNA with the anticipation that, after refining phenotypic definitions, characterizing candidate genes (in other samples), and identifying the most heritable forms of smoking behavior, may inform an efficient and productive strategy to identify susceptibility genes for nicotine dependence.



Space-Time_Modeling

Methods in Space-Time Data Working Group



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