The Biostatistics and Data Management Core (F) will be established in recognition of the critical need for statistical and data management expertise in the design, implementation, and analysis of clinical and basic research related to mental health in HIV/AIDS. The Core will provide Penn Mental Health AIDS Research Center (PMHARC) investigators with statistical collaboration for planning of exploratory investigations and proposal development, and data management and informatics expertise for research planning. The overall mission of Core F will be to encourage and facilitate high quality innovative, interdisciplinary and translational mental health in HIV/AIDS research in the PMHARC. The Core will promote the use of rigorous statistical and analytic methodologies and effective data management by working across the Core boundaries. The Core's specific aims will be to: Advise and collaborate with PMHARC investigators on study design, data management, and data analysis issues, including qualitative research and mixed model approaches;Evaluate feasibility of intervention studies and facilitate conduct of precursor pilot studies;Collaborate on the design, implementation, data management and analysis for up to four pilot studies per year, and develop and maintain a central database of longitudinal assessments on a core set of assessments of biomarkers related to HIV, mental illness, and co-morbidities across all pilot studies. Once a participant is enrolled into a pilot study, the core data collection will continue on that participant until the administrative end of the P-30;Provide statistical collaboration for research funding applications (e.g. ROI, R21, R34);Adapt or develop new statistical methods. Many projects on which Core statisticians provide collaboration can be completed with the use of standard statistical methods, but in some cases it is necessary to either adapt existing methods or develop new ones in order to achieve a satisfactory analysis. Mental health data carries with it substantial structural burdens that tax standard statistical methodology, issues of inference, and issues of appropriate design. These burdens include highly correlated data over time and correlation among various outcome measures. Thus Core F for this Center will be dealing with interesting but complex issues that might not present themselves in other environments (e.g. CFAR). It is expected that as individual ROIs are awarded, that Drs. Ellenberg, Morales, and Barg, the Biostatistics Analysis Center (BAC) and the Clinical Computing and Research Unit (CRCU) will be part of the research team as appropriate to size and complexity of study. In general, the Core's model will be to utilize personnel effort that is supported by the Core for pilot projects and preparation of funding proposals, with the subsequent funded grants providing direct support of the resulting collaborative research effort. Methodological work will also be financed by PMHARC core funding as well as from outside funding generated from external awarded grants.

Public Health Relevance

Core F provides expertise on biostatistical design, qualitative and mixed methods research, data management and data analysis for projects across the PMHARC. In collaboration with all Cores, the expertise and the support services of the BAC, CRUC, and MMRL will be used to enhance the design of the proposed pilot studies and those that are developed for submission of ROIs. Our data management capabilities will be used in management of smaller data sets from pilot study data and large scale data in the proposed R01s

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Center Core Grants (P30)
Project #
1P30MH097488-01A1
Application #
8604538
Study Section
Special Emphasis Panel (ZMH1-ERB-M (02))
Project Start
Project End
Budget Start
2013-06-03
Budget End
2014-05-31
Support Year
1
Fiscal Year
2013
Total Cost
$216,001
Indirect Cost
$81,000
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Dowshen, Nadia; Matone, Meredith; Luan, Xianqun et al. (2016) Behavioral and Health Outcomes for HIV+ Young Transgender Women (YTW) Linked To and Engaged in Medical Care. LGBT Health 3:162-7
Barrett, Jeffrey S; Spitsin, Sergei; Moorthy, Ganesh et al. (2016) Pharmacologic rationale for the NK1R antagonist, aprepitant as adjunctive therapy in HIV. J Transl Med 14:148
Douglas, Steven D (2016) Substance P and sickle cell disease-a marker for pain and novel therapeutic approaches. Br J Haematol 175:187-188
Lyons, Anita; Bilker, Warren B; Hines, Janet et al. (2016) Effect of format on comprehension of adherence data in chronic disease: A cross-sectional study in HIV. Patient Educ Couns 99:154-9
McGuire, Jennifer L; Gill, Alexander J; Douglas, Steven D et al. (2016) The complement system, neuronal injury, and cognitive function in horizontally-acquired HIV-infected youth. J Neurovirol 22:823-830
Greeson, Jeffrey M; Gettes, David R; Spitsin, Sergei et al. (2016) The Selective Serotonin Reuptake Inhibitor Citalopram Decreases Human Immunodeficiency Virus Receptor and Coreceptor Expression in Immune Cells. Biol Psychiatry 80:33-9
McGuire, Jennifer L; Gill, Alexander J; Douglas, Steven D et al. (2015) Central and peripheral markers of neurodegeneration and monocyte activation in HIV-associated neurocognitive disorders. J Neurovirol 21:439-48
Springer, Sandra A; Larney, Sarah; Alam-Mehrjerdi, Zahra et al. (2015) Drug Treatment as HIV Prevention Among Women and Girls Who Inject Drugs From a Global Perspective: Progress, Gaps, and Future Directions. J Acquir Immune Defic Syndr 69 Suppl 2:S155-61
Yehia, Baligh R; Stephens-Shield, Alisa J; Momplaisir, Florence et al. (2015) Health Outcomes of HIV-Infected People with Mental Illness. AIDS Behav 19:1491-500
McGuire, Jennifer L; Kempen, John H; Localio, Russell et al. (2015) Immune markers predictive of neuropsychiatric symptoms in HIV-infected youth. Clin Vaccine Immunol 22:27-36

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