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Literature DB >> 20826130

Categorical data analysis in experimental biology.

Abstract

The categorical data set is an important data class in experimental biology and contains data separable into several mutually exclusive categories. Unlike measurement of a continuous variable, categorical data cannot be analyzed with methods such as the Student's t-test. Thus, these data require a different method of analysis to aid in interpretation. In this article, we will review issues related to categorical data, such as how to plot them in a graph, how to integrate results from different experiments, how to calculate the error bar/region, and how to perform significance tests. In addition, we illustrate analysis of categorical data using experimental results from developmental biology and virology studies.

Entities: Chemical Disease Gene Species

Mesh：

Year: 2010 PMID： 20826130 PMCID： PMC3021327 DOI： 10.1016/j.ydbio.2010.08.018

Source DB: PubMed Journal: Dev Biol ISSN： 0012-1606 Impact factor: 3.582

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