Core F: Biostatistics and data management core

核心F：生物统计和数据管理核心

• 批准号: 9560663
• 负责人: Knashawn Hodge Morales
• 金额: $ 22.16万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9560663
• 关键词: AIDS/HIV problem; Acquired Immunodeficiency Syndrome; Artificial Intelligence; Award; Basic Science; Behavioral; Behavioral Mechanisms; Bioinformatics; Biological; Biological Assay; Biometry; Characteristics; Clinical Data; Clinical Research; Clinical assessments; Collaborations; Community Health; Comorbidity; Complex; Computerized Medical Record; Data; Data Analyses; Databases; Development; Disease; Electronic Health Record; Environment; Epidemiology; Faculty; Family Practice; Funding; Genetic; Grant; HIV; Human Resources; Individual; Informatics; Intervention Studies; Investigation; Laboratories; Laboratory Animals; Machine Learning; Medical; Mental Health; Mental disorders; Methodology; Methods; Mission; Modeling; Morbidity - disease rate; Natural Language Processing; Outcome; Outcome Measure; Pediatric Hospitals; Philadelphia; Pilot Projects; Population Study; Preparation; Preventive; Qualitative Methods; Qualitative Research; Regimen; Research; Research Design; Research Methodology; Research Personnel; Resources; Statistical Methods; Structure; Taxes; Therapeutic Clinical Trial; Time; Work; clinical biomarkers; data management; design; electronic data; experience; faculty research; health data; innovation; medical schools; member; novel; prognostic; psychologic

CORE F Abstract/Summary The Biostatistics and Data Management Core (Core F) was 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 provides the Penn Mental Health AIDS Research Center (PMHARC) pilot investigators with collaboration for planning and execution of exploratory investigations, proposal development, and guidance on quantitative and qualitative data management and analyses. The overall mission of Core F is to encourage and facilitate high quality innovative, interdisciplinary and translational mental health in HIV/AIDS research in the PMHARC. The Core promotes 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: 1) advise and collaborate with PMHARC investigators on study design, data management, and data analysis, including qualitative research and mixed methods approaches; 2) evaluate feasibility of intervention studies and facilitate conduct of precursor pilot studies; 3) collaborate on the design, implementation, data management and analysis for four to six pilot studies per year; 4) maintain and expand the central database of the PMHARC's core set of clinical assessments and biomarkers related to HIV, mental illness, and co-morbidities collected from pilot studies and facilitate future research involving the use of the PMHARC pooled database; and 5): provide statistical collaboration for research funding applications (e.g. R01, R21, R34). Many projects 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 nonadherence to treatment, missing data, correlated data over time, and correlation among various outcome measures. Thus Core F is equipped to deal with interesting but complex issues that might not present themselves in other environments (e.g. CFAR). It is expected that as individual R01s are awarded that faculty, the Biostatistics Analysis Center (BAC), and the Mixed Methods Research Lab (MMRL) 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 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.

核心F摘要/摘要 建立了生物统计学和数据管理核心（核心F），以表彰其对 临床和基本的设计，实施和分析方面的统计和数据管理专业知识 与艾滋病毒/艾滋病心理健康有关的研究。核心提供了宾夕法尼亚心理健康艾滋病研究 中心（PMHARC）飞行员调查员合作计划和执行探索性 关于定量和定性数据管理的调查，提案开发以及指导 分析。核心F的总体任务是鼓励和促进高质量的创新，跨学科 以及PMHARC的艾滋病毒/艾滋病研究中的转化心理健康。核心促进了严格的使用 统计和分析方法和通过跨核心边界工作的有效数据管理。 核心的具体目的是：1）与PMHARC研究人员有关研究设计的建议和合作， 数据管理和数据分析，包括定性研究和混合方法方法； 2） 评估干预研究的可行性并促进前体试点研究的进行； 3）合作 每年四到六个试点研究的设计，实施，数据管理和分析； 4）维护和 扩展PMHARC核心核心评估核心集合的中央数据库，以及与艾滋病毒有关的生物标志物 精神疾病以及从试点研究中收集的合并症，并促进未来的研究，涉及使用 PMHARC汇总数据库；和5）：为研究资金应用提供统计协作（例如 R01，R21，R34）。使用标准统计方法可以完成许多项目，但在某些项目中 情况有必要调整现有方法或开发新方法，以达到令人满意的 分析。心理健康数据具有巨大的结构负担，该税收标准统计 方法论，推理问题以及适当的设计问题。这些负担包括不遵守 处理，数据丢失，随着时间的推移相关数据以及各种结果指标之间的相关性。因此 核心F有能力处理有趣但复杂的问题，这些问题可能不会出现在其他 环境（例如CFAR）。预计作为单个R01的授予，该教师是生物统计学 分析中心（BAC）和混合方法研究实验室（MMRL）将成为研究团队的一部分 适合研究的规模和复杂性。通常，核心的模型将是利用人员努力 试点项目和资助建议的准备，随后的资助赠款提供直接支持 由此产生的协作研究工作。方法论工作也将由PMHARC核心资助 资金以及由外部授予的赠款产生的外部资金。