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Missing values (ranging between 5 and 30%) were imputed by multiple imputation.
Firstly, this study relies on secondary clinical data from medical charts with missing values ranging from 0%to32%2%.
The percentages of missing values (ranging 1.2 - 4.4%) in the comparison group were consistent with previous results (Tables 2, 3).
Data quality was high, with missing values ranging from 0.1% (laboratory measures) to 0.5% (anthropometric measures, blood pressure and pulse rate) to 1.5% (questionnaire data).
Each dimension had a low proportion of missing values (ranging from 0.6 to 2.9%), which indicates good acceptability of the questionnaire.
* Among private practitioners (N = 868) # Total may differ from 1546 because of missing values ranging from 0 to 7 (0-0.45%).
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The number of missing values ranges between 0% and 4.1%.
The proportion of missing values ranged from 0.1% for "In the past one week, have you ever worried about catching influenza A/H1N1" to 10.1% "did you wash hands after sneezing, coughing or touching nose in the past 3 days".
Number of missing values ranged from 0.17 – 1.87%.
Overall, missing values ranged per item from 0.5 to 2.9percentt.
The frequency of missing values ranged from 0.4 to 3.3%.
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