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Exact(60)
No imputations for missing values were performed.
Missing values were rare (Table 3).
Missing values were estimated using mLOCF.
Datasets with missing values were included in analysis; missing values were not replaced.
Missing values were also fitted as a fixed effect.
Any missing values were replaced by a mean value.
Thus, no missing values were used.
Missing values were estimated by linear interpolation as before.
Missing values were replaced with population mean for multivariate analysis.
Missing values were imputed by principal component analyses (PCA) [93].
Missing values were minimal.
More suggestions(16)
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missing postcodes were
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missing answers were
missing assessments were
missing values occurred
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com