Stratified random sampling is a method of sampling that involves dividing a population into distinct subgroups, or strata, that share similar characteristics. Once the population is divided, a random sample is taken from each stratum. This technique ensures that each subgroup is adequately represented in the final sample, which can be particularly important in epidemiological studies.