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For those children with missing values not exceeding one measurement, the nearest neighbour imputation was used in the longitudinal analyses.
Missing values not presented.
Note: missing values not included.
*Occasional missing values, not all totals add up to final number of births.
The online method of data collection explains this, with missing values not being allowed.
The number of response categories excludes non-specific responses such as missing values, not available or "other".
Similar(49)
§χ test comparing those worried about EVD with those not worried (missing values were not considered).
Again, missing values did not affect results (data not shown).
Patients who did not respond to questions were treated as missing values and not included.
The ITT approach is not a remedy for unsound design, and imputation of missing values is not a substitute for complete, good quality data.
Missing values will not lead to bias when the MMRM is applied if data is missing at random which is not a very rigorous condition.
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