实验观测线性混合模型的语义概念模式。
Semantic concept schema of the linear mixed model of experimental observations.
机构信息
Institute of Plant Genetics, Polish Academy of Sciences, ul. Strzeszyńska 34, 60-479, Poznań, Poland.
Institute of Mathematics, Poznań University of Technology, ul. Piotrowo 3a, 60-965, Poznań, Poland.
出版信息
Sci Data. 2020 Feb 27;7(1):70. doi: 10.1038/s41597-020-0409-7.
In the information age, smart data modelling and data management can be carried out to address the wealth of data produced in scientific experiments. In this paper, we propose a semantic model for the statistical analysis of datasets by linear mixed models. We tie together disparate statistical concepts in an interdisciplinary context through the application of ontologies, in particular the Statistics Ontology (STATO), to produce FAIR data summaries. We hope to improve the general understanding of statistical modelling and thus contribute to a better description of the statistical conclusions from data analysis, allowing their efficient exploration and automated processing.
在信息时代，可以通过智能数据建模和数据管理来处理科学实验产生的大量数据。本文提出了一种通过线性混合模型对数据集进行统计分析的语义模型。我们通过应用本体，特别是统计学本体（STATO），将不同的统计学概念联系在一起，以生成 FAIR 数据摘要。我们希望提高对统计建模的普遍理解，从而更好地描述数据分析的统计结论，以便对其进行高效探索和自动处理。
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