Reducing and meta-analysing estimates from distributed lag non-linear models.

ABSTRACT:

Background

The two-stage time series design represents a powerful analytical tool in environmental epidemiology. Recently, models for both stages have been extended with the development of distributed lag non-linear models (DLNMs), a methodology for investigating simultaneously non-linear and lagged relationships, and multivariate meta-analysis, a methodology to pool estimates of multi-parameter associations. However, the application of both methods in two-stage analyses is prevented by the high-dimensional definition of DLNMs.

Methods

In this contribution we propose a method to synthesize DLNMs to simpler summaries, expressed by a reduced set of parameters of one-dimensional functions, which are compatible with current multivariate meta-analytical techniques. The methodolog

SUBMITTER: Gasparrini A 

PROVIDER: S-EPMC3599933 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature