Why Use Stratified Random Sampling in Epidemiology?
In epidemiology, accurate data representation is crucial for understanding the distribution of diseases and health outcomes. Stratified random sampling ensures that minority groups or specific subpopulations are properly represented, which reduces the risk of sampling bias. This method also enhances the precision of estimates by ensuring that each subgroup is proportionally represented, leading to more reliable and valid results.