Linear regression reveals significant age gap between male and female patients
The article discusses how linear regression can be used instead of t tests and analysis of variance to analyze data. By using linear regression, researchers can directly estimate differences between groups and their confidence intervals, rather than just relying on P values. The study shows that linear regression can provide similar results to t tests and ANOVA, but with added flexibility and interpretational differences due to variable coding. For example, in a comparison of ages between male and female patients, linear regression yielded the same significant finding as a t test.