Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis

Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples

Detalles Bibliográficos
Autores principales: Kontopantelis, Evangelos, Doran, Tim, Springate, David A, Buchan, Iain, Reeves, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2015
Materias:
Research Methods & Reporting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460815/
https://www.ncbi.nlm.nih.gov/pubmed/26058820
http://dx.doi.org/10.1136/bmj.h2750
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author Kontopantelis, Evangelos
Doran, Tim
Springate, David A
Buchan, Iain
Reeves, David
author_facet Kontopantelis, Evangelos
Doran, Tim
Springate, David A
Buchan, Iain
Reeves, David
author_sort Kontopantelis, Evangelos
collection PubMed
description Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples
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spelling pubmed-44608152015-07-17 Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis Kontopantelis, Evangelos Doran, Tim Springate, David A Buchan, Iain Reeves, David BMJ Research Methods & Reporting Interrupted time series analysis is a quasi-experimental design that can evaluate an intervention effect, using longitudinal data. The advantages, disadvantages, and underlying assumptions of various modelling approaches are discussed using published examples BMJ Publishing Group Ltd. 2015-06-09 /pmc/articles/PMC4460815/ /pubmed/26058820 http://dx.doi.org/10.1136/bmj.h2750 Text en © Kontopantelis et al 2015 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Methods & Reporting
Kontopantelis, Evangelos
Doran, Tim
Springate, David A
Buchan, Iain
Reeves, David
Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
title Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
title_full Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
title_fullStr Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
title_full_unstemmed Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
title_short Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
title_sort regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis
topic Research Methods & Reporting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460815/
https://www.ncbi.nlm.nih.gov/pubmed/26058820
http://dx.doi.org/10.1136/bmj.h2750
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