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Reflection on modern methods: a common error in the segmented regression parameterization of interrupted time-series analyses
Interrupted time-series (ITS) designs are a robust and increasingly popular non-randomized study design for strong causal inference in the evaluation of public health interventions. One of the most common techniques for model parameterization in the analysis of ITS designs is segmented regression, w...
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| Pubblicato in: | Int J Epidemiol |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8271192/ https://ncbi.nlm.nih.gov/pubmed/33097937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyaa148 |
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