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20世紀重要的科學發(fā)展之一是統(tǒng)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(tǒng)計、臨床試驗、生存分析和統(tǒng)計遺傳學的發(fā)展。公共衛(wèi)生和生物醫(yī)學研究方面的實質性問題促進了統(tǒng)計方法的發(fā)展,從而提高了我們從數(shù)據(jù)中得出有效推論的能力。生物統(tǒng)計學的目標是推動統(tǒng)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(tǒng)計學發(fā)表論文,發(fā)展創(chuàng)新的統(tǒng)計方法,應用于理解人類健康和疾病,包括基礎生物醫(yī)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(wǎng)站上以補充材料的形式對數(shù)據(jù)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。
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.
大類學科 | 分區(qū) | 小類學科 | 分區(qū) | Top期刊 | 綜述期刊 |
數(shù)學 | 2區(qū) | MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學與計算生物學 STATISTICS & PROBABILITY 統(tǒng)計學與概率論 | 2區(qū) 2區(qū) | 否 | 否 |
JCR分區(qū)等級 | JCR所屬學科 | 分區(qū) | 影響因子 |
Q1 | MATHEMATICAL & COMPUTATIONAL BIOLOGY | Q1 | 5.279 |
STATISTICS & PROBABILITY | Q1 |
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