When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts

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Summary

This work considers how to optimise the handling of missing data during the planning stage of a randomised clinical trial and recommends analytical approaches which may prevent bias caused by unavoidable missing data.

Type
article
Published
2017-12-06
Cited by
2,317
References
33
Access
Open access

Keywords

Missing data, Imputation (statistics), Computer science, Flowchart, Data mining

References

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