Simulation study comparing analytical methods for single-item longitudinal patient-reported outcomes data

PURPOSE: Efficient analytical methods are necessary to make reproducible inferences on single-item longitudinal ordinal patient-reported outcome (PRO) data. A thorough simulation study was performed to compare the performance of the semiparametric probabilistic index models (PIM) with a longitudinal...

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Detalles Bibliográficos
Autores principales: Calsavara, Vinicius F., Diniz, Márcio A., Tighiouart, Mourad, Ganz, Patricia A., Henry, N. Lynn, Hays, Ron D., Yothers, Greg, Rogatko, André
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992042/
https://www.ncbi.nlm.nih.gov/pubmed/36245019
http://dx.doi.org/10.1007/s11136-022-03267-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992042/
https://www.ncbi.nlm.nih.gov/pubmed/36245019
http://dx.doi.org/10.1007/s11136-022-03267-z

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