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1
The results were essentially unchanged after statistical adjustment for potential
confounding
factors
.
2
Information on smoking and potential
confounding
factors
was collected by standardized interviews.
3
Multivariable linear regression analysis was performed to account for potential
confounding
factors
.
4
All of the above associations remained significant after adjustment for
confounding
factors
.
5
Multiple logistic regression analyses were performed to determine the potential
confounding
factors
.
6
However, when
confounding
factors
were controlled, only the negative factor remained lower significantly.
7
It contains three updated data sets on tobacco consumption and potential
confounding
factors
.
8
We used Cox proportional hazard models adjusted for possible
confounding
factors
.
9
Age, smoking status, physical activity, and sleeping hours were treated as
confounding
factors
.
10
Propensity models were developed according to discharge destination, accounting for likely
confounding
factors
.
11
The outcome of this treatment option depends on many
confounding
factors
.
12
We used adjustment by propensity score to control for bias by
confounding
factors
.
13
The difference remained statistically significant after correction for
confounding
factors
by multivariate analysis.
14
Multivariable logistic models were used after adjusting for potentially
confounding
factors
.
15
When correcting for potential
confounding
factors
and multiple testing, these associations remained significant.
16
Maternal depression, breastfeeding rates and socio-economic factors were evaluated as potentially
confounding
factors
.
confounding
factors
confounding
factor