Sentence examples for which excludes with from inspiring English sources

The yield of sonographic diagnosis of a large fetus drops markedly after the finding of a fetal abdominal circumference <90th percentile on two sonograms, which excludes with high reliability the risk of a LGA newborn.

Non-representative samples such as the Alzheimer's Disease Neuroimaging Initiative, which excludes subjects with Hachinski score ≥4 or subjects with significant cerebrovascular disease on MRI, do not lend themselves to investigating the interrelationships between cerebrovascular disease and Alzheimer's disease pathophysiology.

The SOLiD 50 bp reads for USF1 were aligned to the hg18 reference genome using BFAST (v. 6.4) with the -A 3 setting which excludes reads with more than one best scoring alignment.

In addressing this issue, most studies use complete case analysis, which excludes cases with missing data, thus potentially introducing selection bias.

Among those receiving subsidies (which excludes those with incomes above four times the poverty line — about $46,000 for individuals or $94,000 for a family of four), the subsidies are projected to be worth an average of $5,548 per household, which would effectively discount the projected price of insurance by two-thirds, on average.

The final sample size was 793 239 (81%) which excludes cases with discontinued enrolment in 2006.

In this refined group which excludes subjects with high CRP and WBC levels, improved values were obtained.

The source population were mainly herds affiliated to the SvDHV's full service programme, which excludes herds with herd veterinarians outside this organization.

Our analyses used all WTCCC Affy500K genotypes called by the Affymetrix BRLMM algorithm which excludes genotypes with BRLMM confidence scores above 0.5 (see METHODS).

Loss to follow-up was strongly associated with previous lack of pain relief, so the missing data are a likely source of bias in a complete cases (CC) analysis, which excludes individuals with missing Y t i 10.

The form, which excludes patients with neurological pathology for further analysis, showed a sensitivity of 85%, a specificity of 88%, a positive predictive value of 81% and a negative predictive value of 91%.