How to Mitigate Selection Bias in Cancer Research?
Randomization Randomization is a powerful tool to minimize selection bias. By randomly assigning participants to different groups, researchers can ensure that the groups are comparable and that the treatment effects are not confounded by other factors. This is particularly crucial in clinical trials involving cancer treatments.
Stratification Stratification involves dividing participants into subgroups based on certain characteristics, such as age, gender, or cancer stage. This ensures that these characteristics are evenly distributed across study groups, reducing the risk of skewed results.
Using Population-Based Registries Population-based cancer registries collect comprehensive data on cancer patients from a defined population. Using data from these registries can help ensure that study samples are more representative of the general cancer patient population, thus minimizing selection bias.
