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MultiCenter Interrupted Time Series Analysis: Incorporating Within and Between-Center Heterogeneity
BACKGROUND: Segmented regression (SR) is the most common statistical method used in the analysis of interrupted time series (ITS) data. However, this modeling strategy is indicated to produce spurious results when applied to aggregated data. For multicenter ITS studies, data at a given time point ar...
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| Gepubliceerd in: | Clin Epidemiol |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Dove
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7306466/ https://ncbi.nlm.nih.gov/pubmed/32606988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/CLEP.S231843 |
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