Bias Reduction: High retention minimizes the risk of bias, particularly selection bias, which occurs when the characteristics of participants who drop out differ from those who remain. Statistical Power: Maintaining a large sample size ensures that the study has sufficient power to detect meaningful differences or associations. Generalizability: High retention rates help ensure that the study results are applicable to the broader population.
