Distributed Lag Models is a statistical regression framework that belongs to the class of longitudinal data models incorporating lagged values of predictor variables, distinguished by its explicit specification of delayed effects over time to account for temporal dependence in the relationship between exposures and outcomes.
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Distributed lag non‐linear models
Antonio Gasparrini, Ben Armstrong, Michael G. Kenward · Statistics in Medicine · 2010 · 2.5K citations · Full text
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London School of Hygiene & Tropical Medicine, United Kingdom
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Chinese Center For Disease Control and Prevention
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