%0 Journal Article %1 Kontopantelis2015 %A Kontopantelis, Evangelos %A Doran, Tim %A Springate, David A. %A Buchan, Iain %A Reeves, David %D 2015 %J BMJ (Clinical research ed.) %K Interruptedtimeseriesanalysis ResearchDesign:statistics&numericaldata %N jun09 5 %P h2750 %R 10.1136/bmj.h2750 %T Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis. %U http://www.bmj.com/cgi/doi/10.1136/bmj.h2750 http://www.ncbi.nlm.nih.gov/pubmed/26058820 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4460815 %V 350 %X 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.

@article{Kontopantelis2015, abstract = {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.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Kontopantelis, Evangelos and Doran, Tim and Springate, David A. and Buchan, Iain and Reeves, David}, biburl = {https://www.bibsonomy.org/bibtex/220c0d0cd0fd2d35c9fcc6fd0606c7fa3/jepcastel}, doi = {10.1136/bmj.h2750}, interhash = {0191be100628b01ad6752a3a235a1a1a}, intrahash = {20c0d0cd0fd2d35c9fcc6fd0606c7fa3}, issn = {1756-1833}, journal = {BMJ (Clinical research ed.)}, keywords = {Interruptedtimeseriesanalysis ResearchDesign:statistics&numericaldata}, note = {Sèries temporals}, number = {jun09 5}, pages = {h2750}, pmid = {26058820}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis.}, url = {http://www.bmj.com/cgi/doi/10.1136/bmj.h2750 http://www.ncbi.nlm.nih.gov/pubmed/26058820 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4460815}, volume = 350, year = 2015 }