Distributed lag interrupted time series model for unclear intervention timing: effect of a statement of emergency during COVID-19 pandemic
Abstract Background Interrupted time series (ITS) analysis has become a popular design to evaluate the effects of health interventions. However, the most common formulation for ITS, the linear segmented regression, is not always adequate, especially when the timing of the intervention is unclear. In...
Main Authors: | Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-07-01
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Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12874-022-01662-1 |
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