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Calculating effect sizes in animal social network analysis
Because of the nature of social interaction or association data, when testing hypotheses using social network data it is common for network studies to rely on permutations to control for confounding variables, and to not also control for them in the fitted statistical model. This can be a problem because it does not adjust for any bias in effect sizes generated by these confounding effects, and thus the effect sizes are not informative in the presence of counfouding variables. We implementeddoi:10.1101/2020.05.08.084434 fatcat:hcp6gwzgnzcsbpzrnl663x63te