| 期刊ISSN: | 1465-4644 |
|---|---|
| E-ISSN: | 1468-4357 |
| 影响因子: | 1.8 |
| 自引率: | 0% |
| 检索数据库: | |
| 出版语言: | 英文 |
| 期刊分类: |
| 最新中科院SCI期刊分区(基础版) | |
|---|---|
|
大学学科
|
|
|
数学
三区
|
|
|
按学科分区
|
|
|
数学与计算生物
二区
|
|
|
Top期刊
否
|
|
|
综述期刊
否
|
|
| 最新中科院SCI期刊分区(升级版) | |
|---|---|
|
大学学科
|
|
|
按学科分区
|
|
|
Top期刊
|
|
|
综述期刊
|
|
| 出版信息 | |
|---|---|
| 出版商 |
Oxford University Press
|
| 期刊官网 | https://academic.oup.com/biostatistics |
| 涉及的研究方向 |
生物-数学与计算生物学
|
| 年文章数 |
0
|
| 是否OA |
否
|
| APC费用 | |
| SCI期刊收录coverage | |
| 期刊简介 | |
|---|---|
|
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.
|
|
| Cite Score相关 | |||
|---|---|---|---|
| Cite Score | SJR | SNIP | 排名 |
EI Compendex,Scopus,IEEE Xplore
第二届先进计算与智能机器人应用国际学术会议 (ACIRA 2026)IEEE出版
985主办
EI Compendex,Scopus,IEEE Xplore
第三届大数据分析与人工智能应用国际学术会议(BDAIA 2026)交叉学科
IEEE出版
EI Compendex,Scopus,IEEE Xplore
第二届AI赋能图像处理与计算机视觉技术国际学术研讨会(AIPCVT 2026)IEEE出版
多届检索