Current practices in missing data handling for interrupted time series studies performed on individual-level data: A scoping review in health research

• Autores: Bazo-Alvarez J.C., Morris T.P., Carpenter J.R., Petersen I.
• Formato: revisión
• Fecha de Publicación: 2021
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/2988
• Enlace del recurso: https://hdl.handle.net/20.500.12390/2988; https://doi.org/10.2147/CLEP.S314020
• Nivel de acceso: acceso abierto
• Materia: Segmented regression; Interrupted time series analysis; Missing data; Multiple imputation; Scoping review; https://purl.org/pe-repo/ocde/ford#2.02.04

This study was funded by the National Institute for Health Research (NIHR) School for Primary Care Research, project number 444. JCB was sponsored by FONDECYT- CONCYTEC (grant contract number 231-2015- FONDECYT). TPM, TMP and JRC were supported by the Medical Research Council (grant numbers MC_UU_12023/ 21 and MC_UU_12023/29). The study sponsors only had a funding role in this research. Thus, the researchers worked with total independence from their sponsors.