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We used a complete case analysis assuming missing completely at random.
In order to minimise the bias due to missing participant data across a number of trials, the primary meta-analysis was conducted using a complete case analysis, as proposed in the Cochrane Handbook [23] and by Akl et al. [24].
We used a complete case analysis.
Results using the multiple imputation approach and results using a complete case approach were quantitatively similar.
For these reason, we also used a complete case analysis approach.
Separate multinomial logistic regression analyses (using a complete case approach) were conducted for each cohort.
The second stage repeated this analysis using a complete case sample for each outcome.
We used a complete case analysis approach because only 110 subjects (3%) were missing data from one or more variables.
We used a complete case analysis approach as we had insufficient information on non-responders to impute missing data.
We used a complete case analysis approach and deprivation quintile-specific life-tables for all survival estimates (Cancer Research UK Cancer Survival Group, 2006).
Because the number of missing values at 12 months was small for all outcome measures, we used a complete case analysis.
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