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We carried out multiple imputation analyses with 5 imputed datasets based on Rubin's multivariate normal model [ 37] to assess potential biases due to missing values in our data.
Imputation analyses.
Multiple imputation analyses yielded similar results.
We therefore present results from the imputation analyses.
Complete case and multiple imputation analyses were conducted.
We show results both from multiple imputation analyses and analyses with complete data for each model (non-imputation analyses).
Complete case analyses showed similar results to the multiple imputation analyses as presented throughout the manuscript.
The cost of multiple imputation analyses is small compared with the cost of collecting the data.
Results from multiple imputation analyses were generally consistent with those shown in Table 2.
Methods for the supplementary multiple imputation analyses are described in an online appendix.
While the results from the imputation analyses are reassuring, they should be interpreted with caution.
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