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Methods, applications, interpretations and challenges of interrupted time series (ITS) data: protocol for a scoping review

Authors

  • Joycelyne E Ewusie Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada PubMed articlesGoogle scholar articles
  • Erik Blondal Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Canada Institute of Health Policy Management and Evaluation (IHPME), University of Toronto, Toronto, Canada PubMed articlesGoogle scholar articles
  • Charlene Soobiah Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Canada Institute of Health Policy Management and Evaluation (IHPME), University of Toronto, Toronto, Canada PubMed articlesGoogle scholar articles
  • Joseph Beyene Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada PubMed articlesGoogle scholar articles
  • Lehana Thabane Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada Biostatistics Unit, Father Sean O'Sullivan Research Centre, St Joseph's Healthcare, Hamilton, Canada PubMed articlesGoogle scholar articles
  • Sharon E Straus Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Canada Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada PubMed articlesGoogle scholar articles
  • Jemila S Hamid Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada Li Ka Shing Knowledge Institute of St Michael’s Hospital, Toronto, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Jemila S Hamid; jhamid{at}mcmaster.ca
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Citation

Ewusie JE, Blondal E, Soobiah C, et al
Methods, applications, interpretations and challenges of interrupted time series (ITS) data: protocol for a scoping review

Publication history

  • Received January 18, 2017
  • Revised April 19, 2017
  • Accepted June 12, 2017
  • First published July 2, 2017.
Online issue publication 
January 10, 2022

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