Stratified analysis is a statistical method used to examine the relationship between variables while accounting for the influence of other factors. This technique involves dividing a population into distinct subgroups, or strata, based on specific characteristics, such as age, gender, or socioeconomic status. By analyzing these subgroups separately, researchers can identify patterns and differences that may be obscured in the overall data. This approach is particularly useful in fields like epidemiology and social sciences, where understanding the effects of confounding variables is crucial. Stratified analysis helps ensure that conclusions drawn from data are more accurate and relevant to specific populations, leading to better-informed decisions and policies.