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Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches |
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Published in | Systematic Reviews. 2015, vol. 4, p. 98 | |
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 | |
Identifiers | PMID: 26202162 | |
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Research group | Epidémiologie clinique (115) | |
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 https://archive-ouverte.unige.ch/unige:90344 |