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Integration and Analysis of Diverse HIV-Associated Data

Concept Clearance


Cynthia Grossman, Ph.D.
HIV Treatment and Translation Science Branch, Secondary Prevention Program
Division on AIDS Research (DAR)

Susannah Allison, Ph.D.
HIV Prevention Science Branch, Prevention Program
Division on AIDS Research (DAR)


To stimulate integration of data across HIV research networks and cohorts as well as the development, adaptation and application of state-of-the-art analytic methods to achieve a better understanding of the various neurobehavioral and psychosocial factors that characterize human functioning of people living with HIV or those at risk for HIV.


NIH Institutes fund a large number of studies that collect longitudinal data on neurobehavioral and psychosocial variables in addition to HIV-disease and treatment-specific measures on people living with HIV or at risk for acquiring HIV. These studies include the National Institute of Allergy and Infectious Diseases and the Eunice Kennedy Shriver National Institute of Child Health and Human Development Clinical Trials Networks, such as: AIDS Clinical Trials Group (ACTG); HIV Prevention Trials Network (HPTN); Microbicide Trial Network (MTN); International Network for Strategic Initiatives in Global HIV Trials (INSIGHT); International Maternal Pediatric Adolescent AIDS Clinical Trials (IMPAACT); Adolescent Trials Network (ATN); as well as cohort studies: Multicenter AIDS Cohort Study (MACS); Women’s Interagency HIV Study (WIHS); Pediatric HIV/AIDS Cohort Study (PHACS); CNS HIV Antiretroviral Therapy Effects Research (CHARTER); National NeuroAIDS Tissue Consortium (NNTC), etc. Few efforts have been made to combine data across studies. However, given the complexity of the possible interactions between and within the different domains, as well as the longitudinal character of the data, there is a need for more advanced statistical approaches requiring larger integrated datasets.

The aim of this initiative is to maximize and realize the full value of previously collected data to increase our knowledge of etiology and trajectories of HIV-associated consequences on daily functioning and to guide the development of novel, high quality, effective interventions for their prevention and treatment. This initiative would include, but not be limited to efforts to:

  • Integrate diverse neurobehavioral and psychosocial data sets, including linked disease variables and biomarkers, from HIV cohort studies or HIV clinical trials;
  • Develop, adapt, and apply state-of-the-art statistical approaches to explore and/or analyze complex interrelations within and between different domains and to allow for longitudinal analyses of these complex interrelations over time (neurobehavioral, immunological, virological, pathological, genetic, psychosocial/psychiatric, etc.);
  • Develop predictive quantitative neurobehavioral and/or psychosocial models that can identify subjects who are at greater risk for adverse outcomes as a consequence of HIV and its treatments and potential modifiers of the risk factors.

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