Biostatistics Core

生物统计核心的主要目标将是为项目调查员提供集中的资源 生物统计学方面的专业知识。统计问题将在所有级别的调查中得到解决：从设计 临床试验和实验室实验，到数据质量的维护；以及从基于 正式的假设检验，通过彻底的数据探索发现重要线索。为了支持这一点 目标，核心的具体目标包括： 1.设计：与项目研究人员合作设计临床研究和实验室 实验，明确假设和假设检验策略的表述，以及 预测模型的开发和验证。 分析：提供支持：对临床和实验数据进行正式假设检验，以确保 强有力的结论；前瞻性和回溯性的统计建模和敏感性分析 研究.预测模型的发现、训练和验证的综合分析.探索性 导致进一步研究和实验的分析；以及数据的可视化显示，以澄清 结论和发现线索。 监督和基础设施：为临床试验提供监督，包括设计遵守和 中期分析、基于网络的随机化和数据协调服务。 数据质量保证：管理数据并与综合临床病理学协调服务 和生物仓库核心，以确保所有临床研究人员的高质量、安全性和可访问性 和实验数据。 方法研究：研究直接处理困难数据或设计的新方法 有问题。 试点项目：为试点项目提供设计和数据分析支持。 相关性(请参阅说明)： 生物统计核心将为实验和研究的规划和设计提供关键支持， 数据的统计分析和显示，以及数据管理和完整性。此支持旨在 确保研究得出可靠的结论，有效利用资源，并进行探索性分析 发现重要线索。

The principal objective of the Biostatistics Core will be to provide project investigators a centralized resource for biostatistics expertise. Statistical issues will be addressed at all levels of investigation: from the design of clinical trials and laboratory experiments, to the maintenance of data quality; and from conclusions based on formal hypothesis testing, to important leads discovered by thorough data exploration. In support of this objective, the specific aims of the Core include: 1. Design: collaborate with project investigators in the design of clinical studies and laboratory experiments, formulation of unambiguous hypotheses and hypothesis testing strategies, and development and validation of predictive models. Analysis: provide support with: formal hypothesis tests in clinical and experimental data that ensure strong conclusions; statistical modeling and sensitivity analyses of prospective and retrospective studies; integrated analyses for discovery, training, and validation of predictive models; exploratory analyses that lead to further studies and experiments; and visual displays of data that clarify conclusions and uncover leads. Oversight and Infrastructure: provide oversight for the clinical trials, including design adherence and interim analyses, web based randomization, and data coordination services. Data Quality Assurance: manage data and coordinate services with the Integrated Clinicopathology and Biorepository Core to ensure high quality, security and investigator accessibility for all clinical and experimental data. Methods Research: Investigate new methodologies to directly address difficult data or design problems. Pilot projects: provide design and data analytic support for pilot projects. RELEVANCE (See instructions): The Biostatistics Core will provide critical support for planning and design of experiments and studies, statistical analyses and display of data, and data management and integrity. This support is designed to ensure that studies yield reliable conclusions, resources are efficiently used, and exploratory analyses uncover important leads.