One of the primary challenges in measuring time at risk is dealing with incomplete data and loss to follow-up in studies. Additionally, accurately defining the onset of risk and determining when an individual is no longer at risk can be complicated, particularly in chronic conditions where the exposure might be continuous or intermittent. Advanced statistical methods and careful study designs are often required to address these challenges effectively.
