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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
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Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Abstract
Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them
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The record
- Venue
- BMJ
- Topic
- Statistical Methods and Bayesian Inference
- Field
- Mathematics
- Canadian institutions
- Institute of Infection and Immunity
- Funders
- Economic and Social Research CouncilBritish Heart Foundation
- Keywords
- Imputation (statistics)Missing dataComputer scienceData scienceData miningStatisticsEconometricsMathematicsMachine learning
- Has abstract in OpenAlex
- yes