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...

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Detalles Bibliográficos
Autores principales: Cruz, Maricela, Pinto-Orellana, Marco A., Gillen, Daniel L., Ombao, Hernando C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
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

Internet

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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