To implement stratified randomization, researchers first identify the stratification factors that are relevant to the study. These factors are chosen based on prior knowledge or preliminary data indicating their importance in influencing the outcome. The steps typically include:
Identifying stratification variables (e.g., tumor type, stage of disease, age group) Dividing the study population into strata based on these variables Randomizing participants within each stratum to different treatment groups
This can be done using computer-generated randomization lists or specialized software to ensure that the process is both efficient and unbiased.
