Attributable risk from distributed lag models.

ABSTRACT:

Background

Measures of attributable risk are an integral part of epidemiological analyses, particularly when aimed at the planning and evaluation of public health interventions. However, the current definition of such measures does not consider any temporal relationships between exposure and risk. In this contribution, we propose extended definitions of attributable risk within the framework of distributed lag non-linear models, an approach recently proposed for modelling delayed associations in either linear or non-linear exposure-response associations.

Methods

We classify versions of attributable number and fraction expressed using either a forward or backward perspective. The former specifies the future burden due to a given exposure event, while the latter summarizes the

SUBMITTER: Gasparrini A 

PROVIDER: S-EPMC4021419 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature