Tool to assessing whether the results of a study could be influenced by collinearity. Simulations under a given hypothesized truth regarding effects of an exposure on the outcome are used and the resulting curves of lagged effects are visualized. A user's manual is provided, which includes detailed examples (e.g. a cohort study looking for windows of vulnerability to air pollution, a time series study examining the linear association of air pollution with hospital admissions, and a time series study examining the non-linear association between temperature and mortality). The methods are described in Basagana and Barrera-Gomez (2021) tools:::Rd_expr_doi("10.1093/ije/dyab179").
Maintainer: Jose Barrera-Gomez jose.barrera@isglobal.org (ORCID)
Authors:
Xavier Basagana xavier.basagana@isglobal.org (ORCID)