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BIOSTATISTICS

SCIE
BIOSTATISTICS
雜志名稱:生物統計學
簡稱:BIOSTATISTICS
期刊ISSN:1465-4644
大類研究方向:生物
影響因子:2.05
數據庫類型:SCIE
是否OA:No
出版地:ENGLAND
年文章數:45
小類研究方向:生物-數學與計算生物學
審稿速度:較慢,6-12周
平均錄用比例:較易

官方網站:http://biostatistics.oxfordjournals.org/

投稿網址:https://mc.manuscriptcentral.com/biosts

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BIOSTATISTICS

英文簡介

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

中文簡介

20世紀重要的科學發展之一是統計推理和應用于人類健康研究的方法的爆炸性增長。例如,似然推斷方法、流行病學統計、臨床試驗、生存分析和統計遺傳學的發展。公共衛生和生物醫學研究方面的實質性問題促進了統計方法的發展,從而提高了我們從數據中得出有效推論的能力。生物統計學的目標是推動統計學及其在人類健康和疾病問題中的應用,最終目標是促進公眾健康。生物統計學發表論文,發展創新的統計方法,應用于理解人類健康和疾病,包括基礎生物醫學科學。論文應注重方法和應用。最初方法的介紹應以實質性問題為基礎;有機會在《日刊》網站上以補充材料的形式對數據進行廣泛的分析。強烈建議作者提交支持其出版物的代碼。作者應該提交一個指向Github存儲庫的鏈接,以及指向代碼歸檔服務(如Figshare或Zenodo)上代碼的特定示例。

BIOSTATISTICS

中科院分區(請以最新為準)
大類學科 分區 小類學科 分區 Top期刊 綜述期刊
數學 2區 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數學與計算生物學 STATISTICS & PROBABILITY 統計學與概率論 2區 2區

BIOSTATISTICS

JCR分區(請以最新為準)
JCR分區等級 JCR所屬學科 分區 影響因子
Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Q1 5.279
STATISTICS & PROBABILITY Q1

BIOSTATISTICS

中科院JCR分區歷年趨勢圖

BIOSTATISTICS

影響因子
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