Fixed effects models are particularly useful in longitudinal studies, where repeated measurements are taken from the same subjects over time. They help to eliminate the bias that could arise from unobserved variables that do not change over time within an individual but might vary across different individuals. This is crucial for establishing a more accurate relationship between the exposure and the outcome.
