Why is Linear Interpolation Important in Epidemiology?
Epidemiologists often deal with incomplete data sets. For instance, disease incidence rates might be reported monthly, but a study may require daily estimates. Linear interpolation allows researchers to fill these gaps, providing a continuous data set for more accurate analysis and modeling.
