Revisiting Transfer Functions: Learning About a Lagged Exposure-Outcome Association in Time-Series Data

Hiroshi Mamiya; Alexandra M Schmidt; Erica E M Moodie; David L Buckeridge

doi:10.3389/ijph.2022.1604841

Revisiting Transfer Functions: Learning About a Lagged Exposure-Outcome Association in Time-Series Data

Int J Public Health. 2022 Jul 11:67:1604841. doi: 10.3389/ijph.2022.1604841. eCollection 2022.

Authors

Hiroshi Mamiya¹, Alexandra M Schmidt¹, Erica E M Moodie¹, David L Buckeridge¹

Affiliation

¹ Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada.

No abstract available

Keywords: Bayesian analysis; dynamic linear model; environmental exposure; food marketing; lagged association; sugar-sweetened food; time-series analysis; transfer function.

MeSH terms

Beverages*
Carbonated Beverages*
Humans