BIOSTATISTICS

期刊基本信息

期刊名称：BIOSTATISTICS

出版国家或地区：ENGLAND

是否OA：No

期刊ISSN：1465-4644

期刊官方网站：http://biostatistics.oxfordjournals.org/

期刊投稿网址：https://mc.manuscriptcentral.com/biosts

通讯方式：OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD, ENGLAND, OX2 6DP

涉及的研究方向：生物-数学与计算生物学

出版周期：Quarterly

出版年份：2000

期刊数据表：

BIOSTATISTICS英文简介：

Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data. The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health.Biostatistics publishes papers that develop innovative statistical methods with applications to the understanding of human health and disease, including basic biomedical sciences. Papers should focus on methods and applications. Introduction of original methodology should be grounded in substantive problems;there is the opportunity to present extensive analyses of data on the journal's website as supplementary material. Authors are strongly encouraged to submit code supporting their publications. Authors should submit a link to a Github repository and to a specific example of the code on a code archiving service such as Figshare or Zenodo.

BIOSTATISTICS中文简介：

20世纪重要的科学发展之一是统计推理和应用于人类健康研究的方法的爆炸性增长。例如，似然推断方法、流行病学统计、临床试验、生存分析和统计遗传学的发展。公共卫生和生物医学研究方面的实质性问题促进了统计方法的发展，从而提高了我们从数据中得出有效推论的能力。生物统计学的目标是推动统计学及其在人类健康和疾病问题中的应用，最终目标是促进公众健康。生物统计学发表论文，发展创新的统计方法，应用于理解人类健康和疾病，包括基础生物医学科学。论文应注重方法和应用。最初方法的介绍应以实质性问题为基础;有机会在《日刊》网站上以补充材料的形式对数据进行广泛的分析。强烈建议作者提交支持其出版物的代码。作者应该提交一个指向Github存储库的链接，以及指向代码归档服务(如Figshare或Zenodo)上代码的特定示例。

BIOSTATISTICS在线问答：