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Simple linear regression showed a significant relation between all 4 study variables and refractive error but in multiple regression only gestational age and weight were related to refractive error.
However, in our models of multiple regression, only hypertension duration was an independent predictor to NSBP.
In multiple regression, only gender, academic career, surgery as chosen specialty, and received mentoring are significant predictors.
The effect of menopause on IAAT has been measured with whole-body imaging and analyzed by multiple regression only once.
However on multiple regression only the relationship between Total OSCE Score and the Total HPAT-Ireland score remained significant; albeit the predictive power was modest.
In multiple regression, only fetuin-A predicted the intensity of AGEs staining in radial artery wall independently of log (BMI), log (hsCRP), log (PAI-1), and log (DPPH scavenging) (Table 2).
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In multiple regression analysis, only age was independently associated with CaSc (β = 0.45; P = 0.002).
However, on stepwise multiple regression analysis, only thrombomodulin was an independent significant predictor of the presence of PIH (p=0.023).
By stepwise multiple regression analysis, only Δvisceral fat area was independently related to ΔDBP at a significant level (1 10 months: ΔDBP=−0.608+0.105Δvisceral fat area, r2=0.227, P=0.0334).
By multiple regression analysis, only serum HGF concentration showed a strong independent correlation with reactive hyperemia, age and mean BP with PWV.
However, when trial characteristics and epoch were entered into a multiple regression analysis, only trials studying pain patients, those using oral treatments, and industry-sponsored trials were associated with better harms reporting.
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