The phrase "adjust for the influence" is correct and usable in written English.
It can be used in contexts where one needs to account for or modify something based on the effect of a particular factor or variable.
Example: "In our analysis, we must adjust for the influence of external economic conditions to ensure accurate results."
Alternatives: "account for the impact" or "consider the effect".
In this case, our procedure of adjusting the AR(1) projection downwards to adjust for the influence of homicides is almost exactly the same, we subtract (0.0489 + 0.0192)*geomortrate from the AR(1) projection that begins in September of 2001.22 Figure 3 shows the AR(1) projection as a solid line and there is a dashed line with its downwards adjustment.
In addition, we could not adjust for the influence of some factors, which are suggested to be related to rSO2, including partial pressure of carbon dioxide in arterial blood, central venous pressure, skull thickness, and area of cerebrospinal fluid layer [4, 5].
One study did not perform a multivariable analysis and therefore did not adjust for the influence of other predictive factors [ 11].
MPlus was used for the multilevel model testing to adjust for the influence of factors at both levels of the model.
For this preparatory multivariate GLM, all dependent variables and covariates were z-transformed to adjust for the influence of differential scale on measurements.
Further, our analysis could not adjust for the influence of industry-driven promotion and disease education, which may also affect the uptake of newer treatments.
The final model included adjustment for these variables for MMSE at study entry with an additional term adjusting for the influence of delirium history at baseline on rate of MMSE change.
Even after adjusting for the influence of sociodemographic and health-related factors, driving cessation among older adults is strongly associated with decreased out-of-home activity levels (Marottoli et al. 2000).
On the basis that Ali et al [1] recognised that previous research neglected to adequately account for confounders, the present study was positive in that the models developed were appropriately adjusted for the influence of all potential confounders.
Multivariate models search for the independent effect of study characteristics, adjusted for the influence of other, more powerful ones.
Accordingly, we calculated ORs for AO with a logistic regression analysis model after adjusting for the influence of potential variables.
