Background-As the definitional formula for population attributable fraction
is not usually directly usable in applications, separate estimation formul
as are required. However, most epidemiology textbooks limit their coverage
to Levin's formula, based on the (dichotomous) distribution of the exposure
of interest in the population. Few present or explain Miettinen's formula,
based on the distribution of the exposure in the cases; and even fewer pre
sent the corresponding formulas for situations with more than two levels of
exposure. Thus, many health researchers and public health practitioners ar
e unaware of, or are not confident in their use of, these formulas, particu
larly when they involve several exposure levels, or confounding factors.
Methods/Results-A heuristic approach, coupled with pictorial representation
s, is offered to help understand and interconnect the structures behind the
Levin and Miettinen formulas. The pictorial representation shows how to de
al correctly with several exposure levels, and why a commonly used approach
is incorrect. Correct and incorrect approaches are also presented for situ
ations where estimates must be aggregated over strata of a confounding fact
or.