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Readmission rates among groups were compared using the logistic regression model by controlling the variables that were found to have significant association with hospital readmissions at univariate analysis (P < 0.05).
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Very recently, the high versatility of the poly acrylic acid, sodium salt) (PAA) has been demonstrated as a protective agent of the silver nanoparticles because of the possibility of obtaining multicolor silver nanoparticles with a high stability in time by controlling the variable molar ratio concentration between protective and reducing agents [30].
By controlling the reaction variables is possible to make it selective to the terpenic alcohols, namely α-terpineol.
On the basis of the results and discussion in the experimental design sections, various Ni P deposits with approx. 0 28 at.% phosphorus can be galvanostatically electroplated by controlling the key variables.
On the basis of results and discussion in experimental design sections, various Ni P deposits with approx. 5 9 wt.% phosphorus can be galvanostatically electroplated by controlling the key variables and these deposits are confirmed to be amorphous-nanocrystalline composite structure in XRD, TEM tests.
The adjusted odds ratios (AORs) and 95%% CIs for mortality were estimated through stepwise model selection of a multiple regression model that was adjusted by controlling the cofounding variables of age and ISS.
Skin permeation of NC could be modulated by controlling the DMN array variables, such as MN length and array density as well as application force to meet various clinical requirements including adjustment for body mass and renal function.
PSM reduces the bias found in an estimate of the exposure effect obtained by comparing outcomes among units of an exposed group versus a control group by controlling the demographic and occupational variables.
In order to predict the likelihood of utilization of PMTCT/HIV-test in both study subjects (not utilized and utilized), multiple logistic regression was used by controlling the effect of confounding variables if any exist and enter method was used.
Multivariate logistic regression analyses were used to identify factors associated with tobacco use by controlling the effects of potential confounding variables.
It works as a continuously variable transmission by controlling the generator and the motor.
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