Temporal bias refers to the systematic error that arises when the timing of data collection or events in a study affects the outcome or conclusions drawn. This bias can lead to misinterpretation of the relationship between exposure and outcome, especially in studies where the timing of data collection is crucial, such as in cross-sectional studies where data is collected at a single point in time, potentially obscuring cause-and-effect relationships.
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