In the field of epidemiology, assumptions are the foundational beliefs or conditions that researchers accept as true for the sake of their analysis and modeling. These assumptions are necessary for the development of models, the interpretation of data, and the drawing of conclusions. For example, a common assumption might be that the population under study is closed, meaning there are no new entries or exits during the study period.
