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Furthermore, the problems of misclassification and missing values varied across occupational and industrial groups.
Across the other cities, the percentage of missing values varied between 0 and 8%.
The numbers of missing values varied from query to query, which were excluded from the following statistical analysis.
For most of the variables, the percentage of missing values varied between 0 and 2 per cent.
The proportion of missing values varied from 17to21%1% in the "interested" group, and from 23 to 26% in the "non-interested" group.
Although few fathers were misclassified as unemployed on the birth certificate, the proportion of missing values varied considerably across occupational groups.
Because missing values varied slightly by congener, the total number of subjects with PBDE data varied from 1,918 subjects up to 1,971 subjects.
For the other variables used in the analyses, the frequency of missing values varied between 0% and 10.9% with an average of 3.6%.
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The pre-publication history for this paper can be accessed here: *) missing values vary from 3%to9%9% per item *) missing values vary from 3% to 7% per item *) missing values vary from 5%to10%0% per item *) missing values vary from 8%to15%5% per item *) missing values vary from 2% tot 6% per item.
Within these E-MAPs, the proportion of missing values varies from ~12 - 34% (Table 1).
The number of missing values varies by city, with Varese and Gallarate being the city with the highest percentage of missing values (between 1% and 22%).
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