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Furthermore, when information on the number of injections missed per 4-week period was completely missing, imputation analyses were performed using data from completed periods.
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Thus, patients with missing data on TNM stage should be carefully handled in the statistical analyses, eg, by applying missing imputation methods, 18 or bias analysis.
Multiple missing imputation procedures in Stata 12.0 [ 43], using the multivariate chained approach with ten imputation procedures, were employed before the main analyses were conducted.
No missing imputation was performed.
Multiple missing imputation procedures in Stata 12.0, using the multivariate normal approach with 10 imputation procedures, were employed for these variables before the main analyses were conducted [ 47].
Although > 10% of black women had missing data for most of the early-life exposures, results of multiple imputation analyses suggest that missing data did not bias reported associations.
The clinical investigation of a random subsample ascertained eczema diagnoses, and missing data were handled by multiple imputation analyses.
Multiple imputation analyses were conducted where follow-up data was missing.
However, due to the presence of missing data (particularly for the dietary outcomes), we additionally conducted multiple imputation analyses.
Multiple imputation analyses will avoid bias only if enough variables predictive of missing values are included in the imputation model.
A detailed statistical analysis plan (SAP) will be defined in advance to the final analysis, to fix detailed statistical considerations with regard to further data analyses, multiple test issue, missing value imputation and sensitivity analyses.
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