| 期刊ISSN: | 2194-573X |
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| E-ISSN: | 1557-4679 |
| 影响因子: | 1 |
| 自引率: | 0% |
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| 出版语言: | 英文 |
| 期刊分类: |
| 最新中科院SCI期刊分区(基础版) | |
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大学学科
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数学
四区
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数学与计算生物
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Top期刊
否
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综述期刊
否
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| 最新中科院SCI期刊分区(升级版) | |
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大学学科
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综述期刊
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| 出版信息 | |
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| 出版商 |
Walter de Gruyter GmbH
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| 期刊官网 | |
| 涉及的研究方向 |
MATHEMATICAL & COMPUTATIONAL BIOLOGY-STATISTICS & PROBABILITY
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| 年文章数 |
0
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| 是否OA |
否
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| APC费用 | |
| SCI期刊收录coverage | |
| 期刊简介 | |
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The International Journal of Biostatistics (IJB) seeks to publish new biostatistical models and methods, new statistical theory, as well as original applications of statistical methods, for important practical problems arising from the biological, medical, public health, and agricultural sciences with an emphasis on semiparametric methods. Given many alternatives to publish exist within biostatistics, IJB offers a place to publish for research in biostatistics focusing on modern methods, often based on machine-learning and other data-adaptive methodologies, as well as providing a unique reading experience that compels the author to be explicit about the statistical inference problem addressed by the paper. IJB is intended that the journal cover the entire range of biostatistics, from theoretical advances to relevant and sensible translations of a practical problem into a statistical framework. Electronic publication also allows for data and software code to be appended, and opens the door for reproducible research allowing readers to easily replicate analyses described in a paper. Both original research and review articles will be warmly received, as will articles applying sound statistical methods to practical problems.
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| Cite Score相关 | |||
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| Cite Score | SJR | SNIP | 排名 |
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