统计研究

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生物统计的研究进展与挑战

李扬等   

  • 出版日期:2016-06-15 发布日期:2016-06-03

Recent Advances and Future Challenges for Biostatistics

Li Yang et al.   

  • Online:2016-06-15 Published:2016-06-03

摘要: 生物统计是以解决生物学、医学、公共卫生学、农学等领域科学问题为目标的应用型学科,近年来在精准医疗的背景下得以快速发展。另一方面,生物统计研究面对的数据存在海量化、复杂化和异质化的大数据特征,对理论与应用研究者都提出了新的挑战。本文围绕生物统计研究中的流行病学研究、临床试验设计、生存数据分析和基因数据分析展开讨论,在介绍基本思路的基础上对最新挑战及前沿发展方向进行展望。

关键词: 流行病学, 试验设计, 生存分析, 基因数据分析

Abstract: Biostatistics is the application of statistics to the field of biological science, medical science, public health, and agriculture. The beginning of the era of precision medicine has witnessed the rapid advancement in the field of biostatistics. Yet the growing dimension, complexity, and heterogeneity in “big data” have brought about a lot of new challenges to biostatistics researchers in theory and application alike. The article focuses on the recent development in four different areas including epidemiology, clinical trials, survival analysis, and genomic data analysis, discusses the challenges with further development based on introducing the basic concepts.

Key words: Epidemiology, Clinical Trial, Survival Analysis, Gene Data Analysis