Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research

OBJECTIVE: Missing data can produce biased estimates in interrupted time series (ITS) analyses. We reviewed recent ITS investigations on health topics for determining 1) the data management strategies and statistical analysis performed, 2) how often missing data were considered and, if so, how they...

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Detalles Bibliográficos
Autores principales: Bazo-Alvarez, Juan Carlos, Morris, Tim P, Carpenter, James R, Petersen, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316757/
https://www.ncbi.nlm.nih.gov/pubmed/34326669
http://dx.doi.org/10.2147/CLEP.S314020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316757/
https://www.ncbi.nlm.nih.gov/pubmed/34326669
http://dx.doi.org/10.2147/CLEP.S314020

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