These relationships were found even after lifestyle factors were controlled for, and were more pronounced in men.
Linear and logistic regression analyses were used to examine associations while confounding factors were controlled for.
We found that prior commercial vocational training affected FK even when the other influence factors were controlled.
The analysis showed that the effect of commercial VET increased slightly (β = 0.327), when the other personal factors were controlled.
Social factors were important for hospitalization risk even when medical factors were controlled for in the analyses.
In the second study two factors were controlled: the paired combination of dynamic diagrams and the application domain.
Some factors like body position, zero reference position, or interobserver variability did not influence our results [20 22] as these factors were controlled for.
Duty factors were controlled within the range from 0.1 to 1 by varying both the pulse-on time and the pulse-off time.
This J-shaped relationship existed at levels of maternal reproductive risk factors and after these risk factors were controlled for using logistic regression.
The AFC, ovarian volume, and ovarian stromal Vmax were all predictive of the number of oocytes retrieved, but when the other factors were controlled by multiple regression analysis the AFC was the only significant predictor (P <.001).
After confounding factors were controlled with logistic regression, the data revealed a statistically significant reduction in febrile episodes in the ketorolac-treated group (27%) compared with the saline solution-treated group (41%) (P =.04).
