Random sampling is crucial in epidemiology for several reasons:
Reduces Bias: By giving every individual an equal chance of selection, random sampling reduces the risk of bias, making the results more reliable. Enhances Validity: Properly executed random sampling enhances the validity of the study, ensuring that the findings are applicable to the broader population. Facilitates Statistical Analysis: Random sampling simplifies the statistical analysis and interpretation of data, as it typically meets the assumptions underlying many statistical tests.
