Information bias can have profound effects on cancer research outcomes:
Effect on Risk Factor Identification: Misclassification of exposure status can obscure the relationship between risk factors and cancer, leading to false associations or masking true associations. Impact on Treatment Efficacy Studies: Incorrectly classifying the severity of cancer can lead to erroneous conclusions about the effectiveness of treatments, affecting clinical decision-making and patient care. Bias in Survival Analysis: Inaccurate data on patient follow-up and outcomes can distort survival rates and hinder the understanding of prognostic factors.
