Subgroup analysis typically involves stratifying the study population based on specific characteristics and then analyzing the effects of the exposure or intervention within each stratum. This can be done using statistical methods such as interaction terms in regression models, stratified analyses, or more advanced techniques like machine learning algorithms.
