Graphical comparisons of relative disease burden across multiple risk factors.

ABSTRACT: BACKGROUND:Population attributable fractions (PAF) measure the proportion of disease prevalence that would be avoided in a hypothetical population, similar to the population of interest, but where a particular risk factor is eliminated. They are extensively used in epidemiology to quantify and compare disease burden due to various risk factors, and directly influence public policy regarding possible health interventions. In contrast to individual specific metrics such as relative risks and odds ratios, attributable fractions depend jointly on both risk factor prevalence and relative risk. The relative contributions of these two components is important, and usually needs to be presented in summary tables that are presented together with the attributable fraction calculation. However, repres

SUBMITTER: Ferguson J 

PROVIDER: S-EPMC6737608 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature