Bimam—a tool for imputing variables missing across datasets using a bayesian imputation and analysis model

HIGHLIGHTS

• who: IEA et al. from the C The Author(s) Published by Oxford University Press on behalf of the International Epidemiological AssociationDepartment of Health Sciences, University of Leicester, Leicester, UK have published the paper: BIMAM—a tool for imputing variables missing across datasets using a Bayesian imputation and analysis model, in the Journal: (JOURNAL)
• what: The authors show that the Bayesian IMputation and Analysis Model (BIMAM) implemented in the tool works well in this situation. This is the case in the example , where the authors show some instability of the results from the two imputation . . .
  

   

  

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