Attrition bias occurs when participants drop out of a study over time, leading to a systematic difference between those who remain in the study and those who leave. This bias can affect the validity of the study results, particularly in field trials where long-term follow-up is essential for assessing outcomes. When participants withdraw, it can skew the data and create an inaccurate picture of the treatment's effectiveness or the prevalence of a condition.
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