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The Cox models with imputed missing data showed a significant effect for FFP transfusion and platelets transfusion, suggesting that missing data did not influence results.
First of all, missing data did not allow analysis of the entire cohorts [7].
However, in imputation analysis, inserting zero or median in place of missing data did not affect the overall results.
However, incorporation of missing data did not affect the assignment of these sequences to haplotype definitions as other variable sites defined a particular haplotype.
Thus, missing data did not affect our findings.
At the item level, missing data did not exceed 5%.
Analysis of missing data did not alter the findings.
Patients with missing data did not differ from the included patients on nonadherence measures.
Demographics of participants with missing data did not significantly differ from the rest of the sample.
Despite gains in statistical power, imputation of the missing data did not alter our findings.
Imputation of missing data did not substantially change the interpretation of the main findings.
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