Core D - Biostatistical Research Support Core

核心 D - 生物统计研究支持核心

• 批准号: 8651086
• 负责人: Wei-Ting Hwang
• 金额: $ 12.54万
• 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/8651086
• 关键词: Address; Animals; Area; Asbestos; Basic Science; Biological Markers; Biometry; Boxing; Case-Control Studies; ChIP-seq; Clinical Research; Collaborations; Communities; Consult; Consultations; Custom; DNA Methylation; Data; Data Analyses; Data Collection; Data Quality; Development; Discipline; Education; Ensure; Environmental Health; Epidemiology; Ethnography; Evaluation Research; Exposure to; Foundations; Frequencies; Future; Genome; Genomics; Goals; Graph; Guidelines; Health; Journals; Knowledge; Link; Manuscripts; Maps; Measures; Mesothelioma; Methodology; Methods; Normalcy; Occupational; Play; Postdoctoral Fellow; Productivity; Protocols documentation; Public Health; Quality Control; Reading; Reporting; Research; Research Design; Research Personnel; Research Support; Resources; Risk; Role; Sample Size; Security; Services; Signal Recognition Particle; Solid; Source; Specific qualifier value; Staging; Statistical Models; Superfund; Training; Translational Research; Validation; Work; career; data management; design; experience; high standard; improved; innovation; lectures; lifestyle factors; meetings; member; operation; pre-doctoral; remediation; research study; social; sound; statistics

Core D, Biostatistics Research Support Core: The primary function of the Penn-SRP Center's Biostatistics Research Support Core (Biostatistics Core) is to enhance the productivity of SRP investigators by providing them with access to a team of biostatisticians who have experience with biostatistical methodology and their application to biomedical and environmental research studies. Through the specific aims described below, the Biostatistics Core will insure that SRP-related studies will have high quality study designs and statistical analysis plans that will provide a solid foundation for their statistical inferences. Aim 1: To provide biostatistical expertise in the design, data collection, data management and data analysis needs of the proposed projects. Members of the Biostatistics Core have been actively interacting with project investigators in each project to select efficient study designs and sample sizes that are adequate to address study objectives, and to establish the protocols necessary to guarantee data quality, security, appropriate approaches to the statistical analysis, and interpretation of study results. Statistical analysis critical in the evaluation of research hypotheses will be performed and appropriate statistical models will be developed as specified by the research objectives of the superfund studies. Aim 2: To support with investigators to prepare tables and graphs, to draft statistical sections of project manuscripts, and consult on research designs for subsequent studies generated by the current projects. To improve the quality of reporting and maximize the scientific and community impact of the research findings generated in this superfund proposal, we will follow the recommended research reporting guidelines for animal, genomics, or biomarkers study to ensure completeness and transparency. Aim 3: To support the education goals set by the Training Core in this SRP. The director of the Biostatistics Core will work with the leaders in the Training Core to identify key training area in biostatistics and provide resources such as lectures or course that facilitate basic training in biostatistics among trainees. When appropriate, the Biostatistics Core will participate journal clubs, lab meetings, and provide general biostatistical consultation services for the trainees in this superfund proposal.

核心D，生物统计学研究支持核心：宾夕法尼亚州SRP中心生物统计学的主要功能 研究支援核心（生物统计核心）是通过提供以下服务，提高研究支援计划调查员的生产力 他们可以接触到一个具有生物统计方法学经验的生物统计学家团队， 应用于生物医学和环境研究。通过下文所述的具体目标， 生物统计学核心将确保SRP相关研究具有高质量的研究设计和统计 分析计划，为他们的统计推断提供坚实的基础。目标1：提供 生物统计专业知识的设计，数据收集，数据管理和数据分析的需要， 拟议项目。生物统计学核心的成员一直积极与项目互动， 每个项目的研究人员选择有效的研究设计和样本量，足以解决 研究目标，并建立必要的协议，以保证数据的质量，安全性，适当的 统计分析方法和研究结果的解释。关键的统计分析 将对研究假设进行评估，并开发适当的统计模型， 由超级基金研究的研究目标指定。目标2：支持调查人员， 准备表格和图表，起草项目手稿的统计部分，并就研究提供咨询 为当前项目产生的后续研究设计。提高报告质量， 最大限度地扩大本超级基金提案中产生的研究成果的科学和社区影响， 我们将遵循动物、基因组学或生物标志物研究的推荐研究报告指南， 确保完整性和透明度。目标3：支持培训中心确定的教育目标 在这个SRP中。生物统计核心主任将与培训核心的领导者合作，确定关键 培训领域，并提供资源，如讲座或课程，促进基本培训， 受训人员的生物统计学。在适当的时候，生物统计学核心将参加期刊俱乐部，实验室 会议，并为超级基金建议的学员提供一般生物统计咨询服务。