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When analyzing interaction models, compositional data can lead to significant mathematical pitfalls. Learn the professional way to address the closure problem, mitigate spurious correlations, and apply log-ratio transformations. This technical walkthrough ensures your research findings are valid and your statistical modeling is truly precise.