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Among those with N. meningitidis PCR-confirmed infection, 26 specimens (11 in China and 15 in Vietnam) could not be linked with the original clinical database due to missing variables, resulting in a total of 258 meningococcal meningitis patients with complete data available for further analysis.
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It can also result from missing variables and unobservable measurement errors in multivariate analysis [6].
The imputation of missing variables did not affect the results.
For these variables, the case fatality rate was the same or lower in patients with missing data compared to patients with documented results, supporting our assumption that missing variables were likely within the normal range [data not shown].
Previous studies on missing data [ 8- 11] have focused on the impact of missing information on study results and the methods to treat the missing variables.
Results suggest that models with limited predictor pools can substitute other predictors to compensate for the missing variables.
The unknown variables were considered missing variables.
We excluded missing variables from our analyses.
Missing variables for ongoing PTSD was < 1%.
For missing variables, multiple imputation was applied.
We excluded 208 subjects for whom there were missing data on diabetes status, 131 subjects for whom there were missing data on lung function, and 45 subjects for whom there were missing data on other key variables, resulting in 15,408 participants in our analytic cohort.
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