Sentence examples for average standardised from inspiring English sources

Two studies compared tricyclics (amitriptyline 25 mg, clomipramine 150 mg) with tetracyclics and found no difference (average standardised mean difference −0.21, −0.65 to 0.22, I=32.8%).

For the seven tasks, a composite score, representing the age-adjusted average standardised score of each task for each individual, was calculated (Phillips et al, 2010).

On average, standardised uptake value (SUV max values in areas of pathology are only 3 7% higher for PET studies corrected for attenuation using single-phase contrast-enhanced images compared to conventional non-enhanced acquisitions[ 6 8].

In 2001 the average standardised mortality ratio, weighted by population, of the population 10th with the lowest mortality rates was 75.6 while the average for the highest 10th was 135.5.

Tricyclics significantly reduced the number of days with tension-type headache and number of headache attacks from migraine than placebo (average standardised mean difference −1.29, 95% confidence interval −2.18 to −0.39 and −0.70, −0.93 to −0.48) but not compared with selective serotonin reuptake inhibitors (−0.80, −2.63 to 0.02 and −0.20, −0.60 to 0.19).

The institutional table is determined using average standardised scores in each subject, as opposed to the average teaching score that is displayed for each subject.

The HIS inspectors report said it was "not possible to draw definitive reasons for the higher than average hospital standardised mortality ratio (HSMR)".

The average incidence, standardised by age and sex, for 1989 to 2004 was 10.2 per 100,000 persons per year and increased from 5.4 to 17.7.

FDG uptake was calculated as average SUV (standardised uptake value, SUVavg) derived from regions of interest using an isocontour threshold defined as: threshold= SUVmax+SUVbackground)/2.

To verify the absence of influential outliers, initial screening was performed by graphical examination of condition differences plotted against averages, and standardised residuals from each model were plotted against fitted values.

For the final clustering, the data were standardised (average zero and standard deviation one), and the k-medoids method was applied and implemented in the 'pam' function of the 'cluster' package in R (Maechler et al. 2016).