Handling trial participants with missing outcome data when conducting a meta-analysis: a systematic survey of proposed approaches
- Akl, Elie A
- Kahale, Lara A
- Agoritsas, Thomas
- Brignardello-Petersen, Romina
- Busse, Jason W
- Carrasco-Labra, Alonso
- Ebrahim, Shanil
- Johnston, Bradley C
- Neumann, Ignacio
- Sola, Ivan
- Sun, Xin
- Vandvik, Per
- Zhang, Yuqing
- Alonso-Coello, Pablo
- Guyatt, Gordon
Publication date
January 2015
DOI Publisher
Springer Science and Business Media LLC ISSN
2046-4053 Citation count (estimate)
11Abstract
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
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