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      A systematic review and development of a classification framework for factors associated with missing patient-reported outcome data.

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          Abstract

          Missing patient-reported outcome data can lead to biased results, to loss of power to detect between-treatment differences, and to research waste. Awareness of factors may help researchers reduce missing patient-reported outcome data through study design and trial processes. The aim was to construct a Classification Framework of factors associated with missing patient-reported outcome data in the context of comparative studies. The first step in this process was informed by a systematic review.

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          Author and article information

          Journal
          Clin Trials
          Clinical trials (London, England)
          SAGE Publications
          1740-7753
          1740-7745
          Feb 2018
          : 15
          : 1
          Affiliations
          [1 ] 1 Department of Public Health Sciences, Queen's University, Kingston, ON, Canada.
          [2 ] 2 Division of Cancer Care and Epidemiology, Cancer Research Institute, Queen's University, Kingston, ON, Canada.
          [3 ] 3 Central Clinical School, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
          [4 ] 4 Psycho-oncology Co-operative Research Group, School of Psychology, The University of Sydney, Sydney, NSW, Australia.
          [5 ] 5 Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK.
          [6 ] 6 Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
          Article
          10.1177/1740774517741113
          29124956
          264232a4-37df-4ba1-b97b-2a4b14ef5021
          History

          patient-reported outcomes,Classification Framework,Systematic review,factors,missing data,missing patient-reported outcome data

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