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With respect to missing data, we imputed 5 datasets to reflect the uncertainty surrounding the imputed values.
For the weighted datasets, Gavin, Krogan-core and Krogan-extended and Collins, the weights of these PPIs are adjusted proportionately to the ones in the PPI datasets which are usually calculated using complicated machine learning approaches that operate on the original noisy experimental datasets to reflect the reliability of the PPI [ 6].
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We chose variables purposively from the available dataset, to reflect socio-economic position (household asset index, maternal schooling), demography (maternal age, parity), establishment and familiarity with healthcare options (duration of residence), and socio-cultural milieu (faith).
We have updated our microarray dataset to reflect the new gene numbers where probes originally designed to intergenic regions are now acknowledged to target a newly annotated gene (see Additional file 4 for microarray probe gene assignment update and Additional files 5 and 6 for details).
Missing cost and utility data will be imputed using multiple imputation through chained equations, with the number of imputation datasets set to reflect the proportion of missingness in the data as recommended by previous guidelines into the use of MI approaches [ 44].
Simulation data: Cypiripi was evaluated on 71 simulated datasets designed to reflect known CYP2D6 genotypes (Kramer et al., 2009), including theoretically possible but highly unlikely cases; Real data: Cypiripi was evaluated on publicly available CEPH 1463 trio (mother, father and son) sequenced by Illumina HiSeq 2000 platform with average coverage of 100 x per chromosome.
The datasets were meant to reflect the different complexities of real metagenomic samples [ 5].
Whereas the information provided in Dataset One seemed to reflect a concern with advocacy, the presentation of 'scientific evidence' and 'best practice', Dataset Two was characterized more by the presentation of factual information about the current status of ECCE within individual countries.
The dataset is weighted to reflect employment in absolute numbers.
Similar messages related to the importance of collaboration and mutual support across organisations and countries were identified within Dataset Two (assumed to reflect national interests).
Three distinct themes also characterized Dataset Two (assumed to reflect 'national', or more localized, priorities and perspectives): Evidence of Diversity; Importance of Engagement Across Multiple Stakeholder Groups, and Gaps and Challenges.
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