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In our study, the mean number of missing values decreased between the two rounds, from 2.1 (9%) to 0.4 (2%).
The proportion of districts with >20% missing values decreased from 7% in 2008 to 0% in 2012.
The coefficient of variation for accuracy of imputing missing values decreased substantially with increasing LD for all map-dependent methods.
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A large percentage of missing values decreases the utility of all statistical methods, that is why we recommend using the consensus spot pattern approach described above.
Our sensitivity analysis, a complete case analysis rather than a single imputation of missing values, further decreased the number of sepsis cases in the treatment group (to 1) which may have contributed to a more protective odds in that sensitivity analysis suggesting that our data were missing not at random.
This leads the missing value to decrease in recent years.
By linking the MDC and RBDM and constructing an SV of Aboriginality, the number of missing values of Aboriginality was significantly decreased and the under-estimation was significantly improved [ 13].
The proportion of missing values for encrypted personal identity numbers decreased from 33% in 2007 to 9% in 2013.
However, this might have decreased the number of missing values.
Hydro-generator design is a complex problem and case based reasoning (CBR) can improve its efficiency, but there are missing values and unmatched features which decrease the accuracy of CBR.
There was a statistically significant decrease of missing values in the period of mandatory notification (p<0.001).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com