C

Stratified random sampling first groups the population into strata defined by characteristics such as age, sex, geography or disease severity and then randomly samples within each stratum, ensuring each important subgroup is adequately represented and thus controlling for factors that could influence study outcomes [Roberts-Thomson, 2010, PMID 20608310].