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RITS: a toolbox for assessing complex interventions via interrupted time series models
BACKGROUND: Various interacting and interdependent components comprise complex interventions. These components create difficulty in assessing the true impact of interventions designed to improve patient-centered outcomes. Interrupted time series (ITS) designs borrow from case-crossover designs and s...
Autores principales: | Cruz, Maricela, Pinto-Orellana, Marco A., Gillen, Daniel L., Ombao, Hernando C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265076/ https://www.ncbi.nlm.nih.gov/pubmed/34238221 http://dx.doi.org/10.1186/s12874-021-01322-w |
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