What are the common data analysis techniques used in this topic?
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The common data analysis techniques used in this topic include descriptive statistics, comparing means techniques, correlation, regression, ANOVA, factor analysis, Cronbach alpha . Additionally, data mining methods are also utilized, such as supervised learning, data analysis, and mining . In the field of statistics, techniques like descriptive analysis, graphic analysis, parametrical and non-parametrical hypothesis testing, principal component analysis, factor analysis, and structural equation modeling are commonly employed . Furthermore, in the context of infectious diseases, molecular epidemiology utilizes techniques such as gel electrophoresis, microsatellites, and raw sequence data analysis .
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| The common data analysis techniques discussed in the paper include gel electrophoresis, PCR, microsatellites, repeat elements, and raw sequence data from protein-coding genes. | |
| The common data analysis techniques mentioned in the paper include descriptive analysis, graphic analysis, parametrical and non-parametrical hypothesis testing, principal component analysis, factor analysis, and structural equation modeling. | |
| The common data analysis techniques used in this topic include wave spectra analysis, defect analysis, pair- and bond-correlation functions, bond order parameter, and distribution functions of displacements and velocities. | |
| The paper does not explicitly mention the common data analysis techniques used in this topic. | |
Open access•Posted Content 1 Citations | The common data analysis techniques used in this topic are descriptive statistics, comparing means techniques, correlation, regression, ANOVA, factor analysis, and Cronbach alpha. |
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