International Journal Of Biostatistics

雜志介紹

International Journal Of Biostatistics雜志介紹

《International Journal Of Biostatistics》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱國際生物統(tǒng)計學(xué)雜志，本刊主要出版、報道數(shù)學(xué)-MATHEMATICAL & COMPUTATIONAL BIOLOGY領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1，最新CiteScore 指數(shù)為2.3。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Variational Inference for Coupled Hidden Markov Models Applied to the Joint Detection of Copy Number Variations.

  Author: Wang X¹, Lebarbier E², Aubert J², Robin S².

• Estimating the Population Average Treatment Effect in Observational Studies with Choice-Based Sampling.

  Author: Zhang Z¹, Hu Z², Liu C³.

英文介紹

International Journal Of Biostatistics雜志英文介紹

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.