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For both studies (separately and pooled), the sensitivity analyses, based on different imputation methods for missing data, were consistently in favour of nalmefene (Supplementary material, Fig. S3).
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To assess the accuracy of imputation based on different genotyped relatives in the real dataset, six scenarios were tested.
The three multiple imputation methods are implemented in STATA version 12 based on different approaches used to perform multiple imputation for continuous and categorical variables [ 27- 30].
Several imputation methods are currently available, based on different statistical models.
Finally, genotype imputation enables meta-analysis that combines results across studies based on different genotyping platforms [ 37, 38].
Although the results for each method were not substantively different, we report results based on multiple imputation.
Multiple imputation is also employed to assess the uncertainty due to imputation since results based on imputation alone, especially when linking imputed locations to other spatial data, may be questionable.
P ( m | x ^ t, u, m, y t, r ) denotes the posterior probability of CG m based on its imputation.
This method is based on multiple imputation (Rubin [1987]): The conditioning model defines how the observed item responses are related to θ, and the plausible-values approach provides a model-based imputation of missing θ n values.
*Results based on multiple imputation of missing values.
Reported results are based on multiple imputation results and the presented model is the averaged results from 50 imputations.
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