On Combining Individual-Level Data With Summary Data in Statistical Inferences

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-01-01 DOI:10.5705/ss.202022.0228

Lu Deng, Sheng Fu, J. Qin, Kai Yu

引用次数: 1

Abstract

On Combining Individual-Level Data With Summary Data in Statistical Inferences

查看原文本刊更多论文

论统计推断中个体数据与汇总数据的结合

统计模型和推论通常基于对研究中个体参与者的测量(个人层面的数据)。然而，通过利用其他研究的汇总汇总数据(如用于元分析的统计数据)来改进统计推断的兴趣越来越大。尽管广义矩量法(GMM)提供了一种灵活的方法，但是集成外部摘要信息并不总是能提高效率。在此，我们提供了外部汇总信息能够发挥作用的充分必要条件。我们进一步扩展了GMM，以纳入从具有不同于个人水平数据的协变量分布的总体生成的汇总数据。中国统计:预印本doi:10.5705/ss.202022.0228

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.