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Title

Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches
Authors
Akl, Elie A
Kahale, Lara A
Agoritsas, Thomas
Brignardello-Petersen, Romina
Busse, Jason W
Carrasco-Labra, Alonso
Ebrahim, Shanil
Johnston, Bradley C
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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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Article (Published version) (441 Kb) - public document Free access
Structures
Faculté de médecine / Section de médecine clinique / Département de médecine interne générale, de réhabilitation et de gériatrie
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. https://archive-ouverte.unige.ch/unige:90344

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Deposited on : 2016-12-15

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