Rationale and performances of a data-driven method for computing the duration of pharmacological prescriptions using secondary data sources

The assessment of the duration of pharmacological prescriptions is an important phase in pharmacoepidemiologic studies aiming to investigate persistence, effectiveness or safety of treatments. The Sessa Empirical Estimator (SEE) is a new data-driven method which uses k-means algorithm for computing...

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Detalles Bibliográficos
Autores principales: Pazzagli, Laura, Liang, David, Andersen, Morten, Linder, Marie, Khan, Abdul Rauf, Sessa, Maurizio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012860/
https://www.ncbi.nlm.nih.gov/pubmed/35428827
http://dx.doi.org/10.1038/s41598-022-10144-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012860/
https://www.ncbi.nlm.nih.gov/pubmed/35428827
http://dx.doi.org/10.1038/s41598-022-10144-9

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