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中文摘要
翻译
生物统计学核心提供长期的合作支持,以建立研究计划,在 中心及短期咨询服务。核心小组的工作增强了联合国的科学目标, 通过提供研究设计和统计分析方面的专业知识,支持中心的研究计划。领域 生物统计学致力于发展对得出科学推论的适当方法的理解 从定量数据,并制定实现这一目标的方法。我们的员工在这方面训练有素 他们都是在广泛的全国搜索后招募的。该机构由16名博士级 生物统计学教师,由8名硕士水平的生物统计学家协助,以及一个编程和 行政人员。该基金的博士级生物统计学家在所有领域都有广泛的集体经验, 与当代癌症研究相关的统计技术的专业领域, 包括临床试验方法、精算技术、流行病学方法、基因组学分析 数据、统计遗传学、诊断医学方法、循证医学和心理测量学 方法.成本回收主要通过基金成员和工作人员的参与来实现, 共同研究者获得了国家卫生研究院的赠款。通过提供一个有效的设计、实施和分析框架, 作为科学研究的一部分,核心有助于提高科学质量,促进跨学科研究。
英文摘要
The Biostatistics Core provides long-term collaborative support to established programs of research at the Center, and short-term consulting services. The work of the Core 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. Our staff is highly trained in this field and were all recruited after extensive national searches. The Facility consists of 16 doctoral-level faculty biostatisticians, assisted by 8 masters-level biostatisticians, and a team of programming 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.
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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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