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During data cleaning, questionnaires that had extensive missing values for variables and questionnaires from CHWs who worked at aid posts were excluded.
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To reduce the impact of this imputation we removed all rows and columns containing extensive (≥ 25%) missing values.
Extensive experiments show that our proposed algorithm can capture missing values efficiently and effectively.
Losses to follow up and missing values will, if reasonably random or not too extensive, be taken care of by substituting mean or median values of real data that are typical for the sample [ 44].
In this way a BBN can elegantly handle missing values in prior distributions by inference from other parameter findings – an extensive literature expounds the principles (e.g. Daniels and Hogan [2008] is a recent text).
Before pregnancy: 13 missing values; Week 17: 13 missing values; Week 32: 3 missing values; 8 weeks after delivery: 5 missing values.
There were no missing values.
Missing values correspond to concentrations below detection.
The missing values amounted to 3.3%%.
c): Excluding 56 observations with missing values.
Therefore, the dataset comprises certain missing values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com