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However, the small differences between back-calculated values based on the revision rate per 100 observed component years and the registry data actually measured had no effect on the overall result, especially when more significant confounders were taken into consideration.
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More significant.
There are more significant challenges.
Attempts were made to control, by design or statistical analysis, for significant confounders.
Some of the more significant..
There were no significant confounders.
The multivariate models included both significant predictors and significant confounders.
We used a backward selection procedure to identify significant confounders.
The number of significant confounders in neuropsychological testing is high.
Model 1 was unadjusted, model 2 was adjusted for significant confounders only and model 3 was adjusted for significant confounders and low back pain.
We concluded that age and parity were not significant confounders and presented results bivaraite associations.
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