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Clinical Epidemiology Volume 12, 2020 - Issue
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Original Research

Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data

Juan Carlos Bazo-Alvarez1 Research Department of Primary Care and Population Health, University College London (UCL), London, UK;2 Instituto de Investigación, Universidad Católica Los Ángeles de Chimbote, Chimbote, PeruCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6169-8049View further author information
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Tim P Morris3 MRC Clinical Trials Unit at UCL, London, UKORCID Iconhttps://orcid.org/0000-0001-5850-3610View further author information
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Tra My Pham3 MRC Clinical Trials Unit at UCL, London, UKORCID Iconhttps://orcid.org/0000-0003-0528-6303View further author information
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James R Carpenter3 MRC Clinical Trials Unit at UCL, London, UK;4 Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UKView further author information
&
Irene Petersen1 Research Department of Primary Care and Population Health, University College London (UCL), London, UK;5 Department of Clinical Epidemiology, Aarhus University, Aarhus, DenmarkORCID Iconhttps://orcid.org/0000-0002-0037-7524View further author information
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Pages 1045-1057 | Published online: 08 Oct 2020

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Juan Carlos Bazo-Alvarez, Tim P Morris, James R Carpenter & Irene Petersen. (2021) Current Practices in Missing Data Handling for Interrupted Time Series Studies Performed on Individual-Level Data: A Scoping Review in Health Research. Clinical Epidemiology 13, pages 603-613.
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