The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...

Nature is marked not only by struggles for survival, but also by remarkable feats of cooperation. From microbes to insects to ...

In traditional models like linear regression and ANOVA, assumptions such as linearity, independence of errors, homoscedasticity, and normality of residuals are foundational.

Discover the fundamentals of linear regression and its applications. Learn more and enhance your data analysis skills today.

Linear regression relies on certain assumptions, such as linearity, independence of errors, homoscedasticity, and normality of residuals. Verify these assumptions to ensure the model's reliability.

Discover the best statistical tests for detecting variance heterogeneity in multiple linear regression models. Explore comparisons, modifications, and comprehensive analyses of various tests. Find the ...