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In a sensitivity analysis, all calculations were redone with missing data imputed (using multiple imputation).
Sensitivity analyses will be performed in order to assess the consistency of the final conclusions and robustness of the ITT population with missing data imputed by multiple imputation.
The original set of markers consisted of 681,257 SNPs generated by the approach described by Elshire et al. [ 27] and Glaubitz et al. [ 28] with missing data imputed using the haplotype-based imputation method described by Romay et al. [ 26].
All primary and secondary clinical effectiveness outcomes (excluding accelerometry) and the a priori covariates will be included in the imputation model and will have their missing data imputed.
To assess the robustness of estimation with such an approach to potential biases, multiple imputation (MI) was used to calculate the corresponding model estimates with missing data imputed appropriately.
6 QOLtdi: QOLtd with missing data imputed.
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For all survival analyses, missing data were imputed using multiple imputations using chained equations [ 17, 18].
These missing data were imputed using multiple imputation based on the observed responses.
Therefore, when establishing nonrandom study attrition, missing data are imputed, using multiple imputation by chained equations.
The missing data were imputed using Beagle v4.
Where it was possible, without risking bias, missing data was imputed using standard methodologies [25].
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