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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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Detalhes bibliográficos
Publicado no:Int J Epidemiol
Main Authors: Xiao, Hong, Augusto, Orvalho, Wagenaar, Bradley H
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha: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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