Statistical Inference for Biomedical Big Data: Theory, Methods, and Tools

该奖项支持参加将于2017年4月7日至8日在佛罗里达州盖恩斯维尔大学盖恩斯维尔校区举行的《生物医学大数据的统计推断：理论、方法和工具》研讨会。在过去的二十年里，数据收集和获取技术的巨大进步使科学家能够在生物医学研究中收集大量与健康相关的数据。如果分析得当，这些数据可以扩大我们的知识，改善当代医疗服务，从诊断到预防再到个性化治疗，还可以为降低医疗成本提供见解。然而，生物医学数据可能相当庞大和复杂，并且往往具有高维、异质、大容量、高速度和高多样性的混合特征。生物医学大数据分析的进展将极大地影响生物医学科学的发展。本次研讨会将汇集生物医学大数据领域的一些最杰出的统计学家和一批精选的本地生物医学研究人员，在协作的环境下讨论和促进生物医学大数据分析的统计理论、方法和工具的前沿发展。该研讨会的形式旨在促进统计学家和生物医学研究人员之间的互动。为了促进研究生、初级研究人员和高级研究人员之间的交流，该计划中包括了海报会议。为了传播会议的结果，将广泛分发计划和摘要，并计划为大量不同地理位置的研究生、博士后和初级教职员工提供适度的旅行资金。有关研讨会的更多信息，请访问http://biostat.ufl.edu/seminars/biostatistics-workshop/.。

This award supports participation in the workshop "Statistical Inference for Biomedical Big Data: Theory, Methods, and Tools" to be held on the Gainesville campus of the University of Florida, Gainesville, Florida on April 7-8, 2017. Dramatic improvements in data collection and acquisition technologies in the past two decades have enabled scientists to collect vast amounts of health-related data in biomedical studies. If analyzed properly, these data can expand our knowledge and improve contemporary healthcare services from diagnosis to prevention to personalized treatment, and can also provide insights into reducing healthcare costs. However, biomedical data can be rather big and complex, and are often characterized by some mixture of high dimensionality, heterogeneity, high volume, high velocity, and high variety. Advances in biomedical big data analysis can greatly impact the development of biomedical sciences.This workshop will bring together some of the most prominent statisticians in biomedical big data and a selected group of local biomedical researchers in a collaborative setting to discuss and foster cutting-edge developments of statistical theory, methods, and tools for biomedical big data analysis. The format of this workshop is designed to foster interactions between statisticians and biomedical researchers. To facilitate communications between graduate students, junior researchers, and senior researchers, a poster session is included in the program. To disseminate the results of the meeting, the program and abstracts will be widely circulated, and modest travel funds for a large geographically diverse group of graduate students, postdocs, and junior faculty are planned. More information about the workshop can be found at http://biostat.ufl.edu/seminars/biostatistics-workshop/.