BIOSTATS CORE

生物统计核心

• 批准号: 8933320
• 负责人: Amr Soliman
• 金额: $ 3.51万
• 依托单位: UNIVERSITY OF NEBRASKA LINCOLN
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-17 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8933320
• 关键词: Acquired Immunodeficiency Syndrome; Biometry; Biostatistics Core; Clinical Data; Collaborations; Collection; Communication; Confidentiality of Patient Information; Consultations; Core Facility; Data; Data Analyses; Data Collection; Data Quality; Data Security; Educational Intervention; Educational workshop; Ensure; Epidemiologic Methods; Epidemiologic Studies; Epidemiology; Experimental Designs; Grant; Institutes; International; Laboratories; Laboratory Study; Malignant Neoplasms; Manuscripts; Measures; Mentors; Methodology; Modeling; Oceans; Participant; Process; Publications; Publishing; Quality Control; Reporting; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Research Support; Resources; Sample Size; Services; Staging; Statistical Data Interpretation; Statistical Methods; System; Testing; Training Support; Update; Writing; anticancer research; data acquisition; data management; design; innovation; investigator training; meetings; programs; prospective; research study; sound; success

The Biostatistics and Epidemiology Core (BiosEpi Core, BEC) will provide professional expertise in biostatistics and epidemiology for all research studies and mentoring activities with the project. The BEC will be a comprehensive, multilateral resource for data acquisition and management, design of laboratory experiments and epidemiological studies, statistical analysis, and publishing study research. The BEC will incorporate sound experimental design principles within all projects and cores, carry out data analyses using appropriate statistical methodology, and contribute to interpretation of results through written reports and frequent interactions with project and program co-leaders. The BEC will provide a customized integrated data management system to facilitate communication and data access among all projects and cores. This process includes prospective data collection, data quality control, data security, and patient confidentiality. Thus, from inception to reporting, projects and programs will benefit from collaboration with the BEC. In addition, the BEC will organize different workshops related to the statistical and epidemiological needs for the research studies, including different types of modeling and variable selection, sample size, power calculation, recruitment, matching, bias, and generalization of the results.

生物统计学和流行病学核心（BiosEpi核心，BEC）将为该项目的所有研究和指导活动提供生物统计学和流行病学方面的专业知识。BEC将是一个全面的多边资源，用于数据采集和管理，实验室实验和流行病学研究的设计，统计分析和出版研究。BEC将在所有项目和核心中纳入合理的实验设计原则，使用适当的统计方法进行数据分析，并通过书面报告和与项目和计划共同领导人的频繁互动来解释结果。BEC将提供一个定制的综合数据管理系统，以促进所有项目和核心之间的通信和数据访问。该过程包括前瞻性数据收集、数据质量控制、数据安全和患者保密。因此，从开始到报告，项目和计划将受益于与BEC的合作。此外，BEC将举办不同的研讨会，讨论研究的统计和流行病学需求，包括不同类型的建模和变量选择、样本大小、功效计算、招募、匹配、偏倚和结果的概括。