Core F: Biostatistics and data management core

核心F：生物统计和数据管理核心

基本信息

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
项目类别：
财政年份：
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

项目摘要

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/总结生物统计和数据管理核心（核心 F）的建立是为了认识到迫切需要临床和基础研究的设计、实施和分析方面的统计和数据管理专业知识与艾滋病毒/艾滋病心理健康相关的研究。核心提供宾夕法尼亚州心理健康艾滋病研究中心 (PMHARC) 试点研究人员合作规划和执行探索性研究调查、提案制定以及定量和定性数据管理指导分析。 Core F 的总体使命是鼓励和促进高质量的创新、跨学科以及 PMHARC 艾滋病毒/艾滋病研究中的转化心理健康。核心提倡使用严格的通过跨核心边界工作来实现统计和分析方法以及有效的数据管理。核心的具体目标是：1) 就研究设计向 PMHARC 研究人员提供建议并与之合作，数据管理和数据分析，包括定性研究和混合方法； 2）评估干预研究的可行性并促进前体试点研究的进行； 3）合作每年四到六项试点研究的设计、实施、数据管理和分析； 4）维护和扩展 PMHARC 与 HIV 相关的临床评估和生物标志物核心集的中央数据库，从试点研究中收集的精神疾病和合并症，并促进涉及使用的未来研究 PMHARC 池数据库； 5)：为研究经费申请提供统计合作（例如 R01、R21、R34）。许多项目可以使用标准统计方法来完成，但在某些情况下在某些情况下，有必要调整现有方法或开发新方法，以达到令人满意的效果。分析。心理健康数据带来了巨大的结构性负担，对标准统计征税方法论、推理问题和适当设计的问题。这些负担包括不遵守治疗、缺失数据、随时间变化的相关数据以及各种结果测量之间的相关性。因此 Core F 能够处理有趣但复杂的问题，而这些问题可能不会在其他解决方案中出现。环境（例如 CFAR）。预计当个人 R01 被授予该教师时，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。一般来说，核心的模式将是利用人员的努力试点项目和资金提案的准备，随后的资助赠款提供直接支持由此产生的合作研究成果。方法论工作也将由 PMHARC 核心资助资金以及外部资助产生的外部资金。