Oversampling can be implemented during the design phase of a study. Researchers may use stratified sampling methods to ensure that enough participants from underrepresented subgroups are included. For example, if a study aims to investigate the impact of a disease on different ethnic groups, researchers might oversample from minority populations to ensure sufficient data.
