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* missing data Data are n and % or mean and standard deviation.
Patient with missing data Data were collected by the authors who are pharmacists.
However, to counteract the effect of missing data, data were collected from 450 households.
The results were similar after multiple imputations for missing data (data not shown).
There were missing data, data of poor quality, and data that may have been in paper format only.
The risk estimates were not sensitive to alternative time-series models in which we imputed missing data (data not shown).
Similar(45)
If there are many missing data, the missing data will be imputed with multiple imputation techniques.
The pattern of missing data and non-missing data is scattered throughout the observations.
Data preparation: Data processing should be reported, including the assessment of multivariate normality, analysis of missing data, method to address missing data, and data transformations.
Blanks indicate missing data, including data withheld for confidentiality reasons, and groups for which no data was available.
Blanks indicate missing data, including data withheld for confidentiality, and groups for which no data were available.
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