官方網(wǎng)站:http://biostatistics.oxfordjournals.org/
投稿網(wǎng)址:https://mc.manuscriptcentral.com/biosts
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.
20世紀(jì)重要的科學(xué)發(fā)展之一是統(tǒng)計(jì)推理和應(yīng)用于人類(lèi)健康研究的方法的爆炸性增長(zhǎng)。例如,似然推斷方法、流行病學(xué)統(tǒng)計(jì)、臨床試驗(yàn)、生存分析和統(tǒng)計(jì)遺傳學(xué)的發(fā)展。公共衛(wèi)生和生物醫(yī)學(xué)研究方面的實(shí)質(zhì)性問(wèn)題促進(jìn)了統(tǒng)計(jì)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(jì)學(xué)的目標(biāo)是推動(dòng)統(tǒng)計(jì)學(xué)及其在人類(lèi)健康和疾病問(wèn)題中的應(yīng)用,最終目標(biāo)是促進(jìn)公眾健康。生物統(tǒng)計(jì)學(xué)發(fā)表論文,發(fā)展創(chuàng)新的統(tǒng)計(jì)方法,應(yīng)用于理解人類(lèi)健康和疾病,包括基礎(chǔ)生物醫(yī)學(xué)科學(xué)。論文應(yīng)注重方法和應(yīng)用。最初方法的介紹應(yīng)以實(shí)質(zhì)性問(wèn)題為基礎(chǔ);有機(jī)會(huì)在《日刊》網(wǎng)站上以補(bǔ)充材料的形式對(duì)數(shù)據(jù)進(jìn)行廣泛的分析。強(qiáng)烈建議作者提交支持其出版物的代碼。作者應(yīng)該提交一個(gè)指向Github存儲(chǔ)庫(kù)的鏈接,以及指向代碼歸檔服務(wù)(如Figshare或Zenodo)上代碼的特定示例。
大類(lèi)學(xué)科 | 分區(qū) | 小類(lèi)學(xué)科 | 分區(qū) | Top期刊 | 綜述期刊 |
數(shù)學(xué) | 2區(qū) | MATHEMATICAL & COMPUTATIONAL BIOLOGY 數(shù)學(xué)與計(jì)算生物學(xué) STATISTICS & PROBABILITY 統(tǒng)計(jì)學(xué)與概率論 | 2區(qū) 2區(qū) | 否 | 否 |
JCR分區(qū)等級(jí) | JCR所屬學(xué)科 | 分區(qū) | 影響因子 |
Q1 | MATHEMATICAL & COMPUTATIONAL BIOLOGY | Q1 | 5.279 |
STATISTICS & PROBABILITY | Q1 |
精選同類(lèi)領(lǐng)域期刊,熱門(mén)推薦輕松get~
精選常見(jiàn)問(wèn)題,答疑解惑輕松get~