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Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models
Data reproducibility is a critical issue in all scientific experiments. In this manuscript, the problem of quantifying the reproducibility of graphical measurements is considered. The image intra-class correlation coefficient (I2C2) is generalized and the graphical intra-class correlation coefficien...
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| Vydáno v: | Comput Stat Data Anal |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4501040/ https://ncbi.nlm.nih.gov/pubmed/26190878 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2015.02.012 |
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