An illustration of and programs estimating attributable fractions in large scale surveys considering multiple risk factors.

ABSTRACT:

Background

Attributable fractions (AF) assess the proportion of cases in a population attributable to certain risk factors but are infrequently reported and mostly calculated without considering potential confounders. While logistic regression for adjusted individual estimates of odds ratios (OR) is widely used, similar approaches for AFs are rarely applied.

Methods

Different methods for calculating adjusted AFs to risk factors of cardiovascular disease (CVD) were applied using data from the National Health and Nutrition Examination Survey (NHANES). We compared AFs from the unadjusted approach using Levin's formula, from Levin's formula using adjusted OR estimates, from logistic regression according to Bruzzi's approach, from logistic regression with sequential removal of ri

SUBMITTER: Ruckinger S 

PROVIDER: S-EPMC2636839 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature