: Failing to verify if data follows necessary distributions (e.g., normality) before applying parametric tests like t-tests or ANOVA [14, 33]. Learning Resources and Tools
: For predicting continuous outcomes [25]. Advanced Medical Statistics
: Evaluating economic outcomes alongside clinical success to inform public health policy [5]. Common Pitfalls in Advanced Application : Failing to verify if data follows necessary
: Used to compare multiple variables and their interactions simultaneously [36]. Advanced Medical Statistics
: Essential for adjusting for confounders and effect modification [27]. Common variants include: