Several strategies can be employed to minimize bias:
Randomization: Randomly assigning participants to exposure groups helps to eliminate selection bias and distribute confounding factors evenly. Blinding: Blinding participants and researchers to exposure status can reduce information bias, particularly interviewer and observer bias. Matching: Matching participants on key confounding variables, such as age and sex, can control for confounding effects. Standardized Data Collection: Using standardized and validated tools for data collection minimizes measurement errors and reduces information bias.
