Biostatistics and Data Integration

生物统计学和数据集成

• 批准号: 8378707
• 负责人: David Jarjoura
• 金额: $ 13.68万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至 2013-04-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8378707
• 关键词: Address; Biometry; Biostatistics Core; Clinical Data; Data; Data Analyses; Data Quality; Data Sources; Decision Making; Development; Diagnostic; Drug Formulations; Ensure; Epithelial; Equation; Experimental Models; Genetic; Investigation; Maintenance; Malignant neoplasm of thyroid; Measurement; Measures; Methodology; Modeling; Mouse Cell Line; Mus; Preparation; Randomized; Research; Research Design; Research Personnel; Resources; Science; Security; Services; Signal Pathway; Statistical Data Interpretation; Testing; data integration; design; prognostic; research study; statistics

Efficient and knowledgeable biostatistical support is crucial to the proper design and interpretation of research in the biomedical sciences. The principal objective of the Biostatistics Core will be to provide the Thyroid cancer investigators a centralized resource for statistical expertise. Statistical issues will be addressed at all levels of investigation: from the design of experiments, to the integration of data sources and maintenance of data quality, and from descriptions of modeling to inferential statements required for accurate dissemination. In support of this objective, the specific aims of the Biostatistics Core include: 1. To collaborate with project investigators in the formulation of hypotheses and hypotheses testing strategies for all mouse and cell line experiments, and in the design of prognostic/diagnostic, linkage, and micro-array studies. 2. To conduct and direct the statistical analysis of data generated by project investigators including: descriptive summary statistics, error modeling, experimental data inference and decision making, analysis and data preparation for linkage and microarray studies, and prognostic/diagnostic equation modeling and accuracy estimation. 3. To ensure that statistical principles associated with: modeling nuisance or block effects, minimizing inference errors (Type I and II error) by correcting for multiple comparisons and multiple measures, randomizing conditions properly, and decreasing measurement error are employed in all studies. 4. Provide data transfer, management, and integration services that ensure high integrity, security and investigator accessibility. 5. To collaborate with Core A (Clinical Data) and Core B (Mouse) directors to ensure the above principles are used in obtaining valid and reliable data from fully powered and unbiased study designs. 6. To coordinate the development and investigation of newer statistical methodologies, when needed, to directly support ongoing research.

高效且知识渊博的生物统计支持对于正确设计和解释至关重要 生物医学科学研究。生物统计核心的主要目标是提供 甲状腺癌研究人员是统计专业知识的集中资源。统计问题将 涉及各个调查层面：从实验设计到数据源整合 和数据质量的维护，以及从建模描述到所需的推理语句 精准传播。为了支持这一目标，生物统计核心的具体目标包括： 1. 与项目研究者合作制定假设和假设检验 所有小鼠和细胞系实验的策略，以及预后/诊断、连锁、 和微阵列研究。 2. 对项目调查人员生成的数据进行并指导统计分析，包括： 描述性汇总统计、误差建模、实验数据推断和决策， 连锁和微阵列研究的分析和数据准备以及预后/诊断方程 建模和精度估计。 3. 确保统计原则与以下方面相关：建模干扰或区块效应、最小化 通过纠正多重比较和多重测量来推断错误（I 型和 II 型错误）， 所有研究均采用适当随机化条件并减少测量误差。 4. 提供数据传输、管理和集成服务，确保高度完整性、安全性和 调查员的可及性。 5. 与核心A（临床数据）和核心B（小鼠）主管合作，确保上述内容 原则用于从充分有力和公正的研究中获取有效和可靠的数据 设计。 6. 必要时协调新统计方法的开发和研究， 直接支持正在进行的研究。