Sentence examples for assuming a liability from inspiring English sources

Exact(1)

Prudential is also assuming a liability of about $115 million in the deal.

Similar(58)

We next performed a simulation as described above that included all 30 CD variants reported in Barrett et al [ 8] that collectively account for 6.4% of the total variance (calculated assuming a liability-threshold model and assuming additivity across loci on the scale of liability).

The probability that the index develops disease given both their and their affected sibling's genotype at a single locus is where P(D I, D S | G I, G S ) and are directly obtained from the multivariate normal cumulative distribution function, assuming a liability-threshold model for disease risk.

The trust, to be run by the union, would assume a liability that G.M. estimates at $55 billion.

The agreement was "that we would assume a liability related to compensation but we didn't agree that we would pay the whole thing out," Barclays' chief operating officer, Rich Ricci, said in his deposition.

But the transportation agency, a state-controlled authority, did not appear eager to assume an additional liability of $98 million a year; the authority is weighing a subway and bus fare increase to offset its own deficit.

Binary variables are assessed assuming a normally distributed latent liability to the exposure, and hence it was not possible to test for sex differences in variance distributions in standard of living, early school leaving and life events, but qualitative and quantitative aetiological sex differences were tested.

By assuming a share of the liabilities of many different insurance firms, reinsurance firms make it possible for mammoth claims following a storm or earthquake to be paid without bringing down the insurers that issued most of the policies in the affected area.

For dichotomous traits (e.g., persistent colonization), SOLAR assumes an underlying liability that is continuously distributed based on the threshold model.All p-values were 2-tailed and confidence intervals set at 95%.

For the 3 ordinal items a threshold model was assumed with a liability distribution that separated participants into 3 categories by specifying 2 thresholds.

MI was tested for the six age × sex groups with a multi-group confirmatory factor analysis (MGCFA) for ordinal data, assuming an underlying continuously distributed liability, which is subject to a series of thresholds that categorize the phenotype.

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