Binary interaction data, measuring the presence or absence of a relation between pairs of actors in a "dyadic interaction situation," are commonly gathered to study the social structure of the group of actors. Recent developments have made the statistical analysis of such data statistically easier ...
我们可以寻求了解变量之间或观察值之间的关系。我们可以在此设置中使用的一种统计学习工具是聚类分析(cluster analysis)或聚类。聚类分析的目标是基于 ,..., 来确定观察是否属于分析相对不同的组。例如,在市场细分研究中,我们可能会观察潜在客户的多个特征(变量),例如邮政编码,家庭收入和购物习惯。我们可能会认为客户属...
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我们可以寻求了解变量之间或观察值之间的关系。我们可以在此设置中使用的一种统计学习工具是聚类分析(cluster analysis)或聚类。聚类分析的目标是基于x_{1},...,x_{n}来确定观察是否属于分析相对不同的组。例如,在市场细分研究中,我们可能会观察潜在客户的多个特征(变量),例如邮政编码,家庭收入和购物习惯。我们可能...
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Logistic regression for correlated binary data. Appl. Stat. 1994, 43, 95–108. [Google Scholar] [CrossRef] Ying, G.; Maguire, M.G.; Glynn, R.; Rosner, B. Tutorial on biostatistics: Linear regression analysis of continuous correlated eye data. Ophthalmic Epidemiol. 2017, 24, 130–140. ...
and there are too many possible safety endpoints to be able to control type I error while preserving power. Safety analysis tends to be somewhat ad hoc and exploratory. But with the large quantity of safety data acquired during clinical drug testing, safety data are rarely harvested to their ...
Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from stati
In this paper, we propose a portmanteau test for misspecification in combination of uniform and binomial (CUB) models for the analysis of ordered rating da
Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact that fundamental concepts from stati