There are several methods to detect non-normal distribution in epidemiological data: 1. Graphical Methods: Histograms, Q-Q plots, and boxplots can visually reveal deviations from normality. 2. Statistical Tests: Tests like the Shapiro-Wilk test, Kolmogorov-Smirnov test, and Anderson-Darling test can quantitatively assess normality. 3. Descriptive Statistics: Skewness and kurtosis values provide numerical indicators of non-normality. Values significantly different from zero suggest non-normal distribution.
