In the field of epidemiology, temporal confounding occurs when the relationship between an exposure and an outcome is influenced by time-related factors. This type of confounding arises when the timing of exposure and the timing of the outcome are not adequately accounted for, leading to misleading conclusions about their association. Temporal confounding is particularly crucial in longitudinal studies where data are collected over extended periods.
