What Causes Incomplete or Inconsistent Information?
Several factors contribute to incomplete or inconsistent information in epidemiological research:
Data Collection Methods: Variations in how data is collected across different studies or regions can lead to inconsistencies. Reporting Bias: Participants may underreport or overreport health behaviors or outcomes, leading to inaccurate data. Missing Data: Incomplete responses or loss to follow-up can result in gaps in the data. Measurement Error: Inaccurate measurement tools or techniques can introduce errors.
