Best Practices for Developing Linear Models With Multiple Explanatory Variables Linear models, including t-test, ANOVA, regression, ANCOVA, and generalized linear models, are foundational tools in statistical analysis. For large datasets, such as those involving tens of thousand...

Linear models solve ~80% of statistical questions, yet are often misused by ignoring interaction and quadratic terms—a gap even in mainstream textbooks. A new paper in #AdvancedGenetics outlines best practices for robust linear modeling: advanced.onlinelibrary.wiley.com/doi/10.1002/...

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