In the context of Epidemiology, selection models are statistical frameworks that account for biases arising from the way data is collected or samples are chosen. These models help to correct for such biases and provide more accurate estimates of associations between exposures and outcomes. Selection bias can significantly distort the results of epidemiological studies, making it crucial to employ methods that address this issue.