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Scientific article
Review
Open access
English

Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches

Published inSystematic reviews, vol. 4, 98
Publication date2015
Abstract

When potentially associated with the likelihood of outcome, missing participant data represents a serious potential source of bias in randomized trials. Authors of systematic reviews frequently face this problem when conducting meta-analyses. The objective of this study is to conduct a systematic survey of the relevant literature to identify proposed approaches for how systematic review authors should handle missing participant data when conducting a meta-analysis.

Keywords
  • Bias (Epidemiology)
  • Data Accuracy
  • Humans
  • Meta-Analysis as Topic
  • Patient Dropouts
  • Research Design/statistics & numerical data
  • Surveys and Questionnaires
Citation (ISO format)
AKL, Elie A et al. Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches. In: Systematic reviews, 2015, vol. 4, p. 98. doi: 10.1186/s13643-015-0083-6
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Article (Published version)
accessLevelPublic
Identifiers
ISSN of the journal2046-4053
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167downloads

Technical informations

Creation11/18/2016 10:31:00 AM
First validation11/18/2016 10:31:00 AM
Update time03/15/2023 1:10:33 AM
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