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中文摘要
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生物统计学核心基金为已建立的研究项目提供长期的合作支持 在中心,和短期咨询服务。基金的工作有助于实现科学目标, 通过提供研究设计和统计分析方面的专业知识,领域 生物统计学的目的是发展对科学方法的理解, 从定量数据中推断,并制定实现这一目标的方法。工作人员高度 他们都是在全国范围内广泛搜寻后被招募的。该设施包括19个 博士水平的生物统计学家,由14名硕士水平的生物统计学家协助, 编程人员和行政人员。该基金的博士级生物统计学家拥有广泛的, 在与下列方面有关的所有统计技术专门领域的集体经验: 当代癌症研究,包括临床试验方法,精算技术,流行病学, 方法,基因组学数据分析,统计遗传学,诊断医学方法,循证医学 医学和心理测量方法。费用回收主要通过基金的参与实现 成员和工作人员作为NIH赠款的资助共同调查员。通过为设计提供有效的框架, 进行和分析科学研究,核心有助于科学质量和促进 跨学科研究生物统计学提供的广泛服务和协作工作 在过去的一年里,核心基金会支持了340名研究人员的研究。在过去的赠款期间, 该中心为9个研究项目的1,932篇研究人员出版物做出了贡献。比如说 生物统计学核心设施在最近发表的TCGA肺鳞状细胞癌中发挥了关键作用 这项研究全面表征了178名受试者的基因组、表观基因组和转录组学景观, 肺SCC样本。这项研究使用了由设施(iCluster+)开发的综合聚类方法, 确定肺癌的亚型。
英文摘要
The Biostatistics Core Facility provides long-term collaborative support to established programs of research at the Center, and short-term consulting services. The work of the Facility enhances the scientific objectives of the Center's research programs by providing expertise on study design and statistical analysis. The field of biostatistics is devoted to developing an understanding of the appropriate ways to derive scientific inferences from quantitative data, and to developing methods for achieving this aim. The staff is highly trained in this field and were all recruited after extensive national searches. The Facility consists of 19 doctoral-level faculty biostatisticians, assisted by 14 masters-level biostatisticians, and a team of programming staff and administrative staff. The doctoral-level biostatisticians in the Facility have broad, collective experience in all of the specialized areas of statistical techniques that are pertinent to contemporary cancer research, including clinical trials methodology, actuarial techniques, epidemiologic methods, analysis of genomics data, statistical genetics, methods for diagnostic medicine, evidence-based medicine and psychometric methods. Cost recovery is achieved primarily through involvement of the Facility members and staff as funded co-investigators on NIH grants. By providing a valid framework for the design, conduct and analysis of scientific studies, the Core contributes to scientific quality and promotes interdisciplinary research. The broad range of services and collaborative work provided by the Biostatistics Core has supported the research of 340 investigators in the past year. During the past grant period the work of the Core has contributed to 1,932 publications of researchers from 9 research programs. For example, the Biostatistics Core Facility played a key role in the recently-published TCGA lung squamous cell carcinoma study that comprehensively characterized the genomic, epigenomic, and transcriptomic landscape of 178 lung SCC samples. This study used an integrative clustering method developed by the facility (iCluster+) to identify sub-types of lung cancer.
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Leveraging the Hidden Genome to Recover the Missing Heritability of Cancer
Harnessing Rare Variants for Tumor Classification
Harnessing Rare Variants for Tumor Classification
Harnessing Rare Variants for Tumor Classification
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