The appropriateness of statistical analysis is another hallmark of study quality. Researchers should use statistical methods that are suitable for the type of data and study design. This includes choosing the right statistical tests, checking assumptions, and using appropriate multivariable models to control for confounding.
Additionally, transparency in reporting statistical methods and results is vital. The use of confidence intervals, p-values, and effect sizes helps in interpreting the findings accurately. Sensitivity analyses can also be conducted to assess the robustness of the results.
