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Summary of missing data prior to multiple imputation.
The CTEU checked that there were no missing data prior to analysis.
Additional file 1: Table S1 summarizes the percentage of participants with missing data prior to imputation.
The multiple imputation technique was used to generate possible values for missing data prior to analysis by repeated-measures ANOVA.
In fact, haplotype phasing algorithms generally convert all Mendelian inconsistencies to missing data prior to phasing thereby removing the deletion signal from the data.
Statistical and social network analysis will be used to characterise and describe the results, using multiple imputation of missing data prior to analysis [ 55, 81].
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There were no replacements of missing data conducted prior to the Week 12 visit.
Subjects younger than 20 at the time of the index year or those with missing data on prior IM were excluded (155 cases and 331 controls).
Exclusions were largely due to missing data on prior hip fractures and parental hip fractures, both of which were not collected on forms for all participants.
We selected this time frame to avoid missing data on prior treatment with thiazolidinediones (TZDs), which were licensed in the European Union in July 2000 and have been associated with an increased risk of bladder cancer (25, 26).
During the first iteration, samples with >90% missing data were removed prior to exclusion of SNPs with >90% missing data, and then the maximum allowed percentage of missing data was decreased in steps of 5% until all samples and SNPs had <5% missing data across the entire West African dataset.
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