Sentence examples for given different assumptions from inspiring English sources

Table 8 Personality traits on NEET status in Bivariate Probit given different assumptions on the correlations of disturbances (AET Test) – Marginal Effects High effort and diligence – Model 2 ρ = 0 ρ = -0.05 ρ = -0.1 ρ = -0.15 ρ set such that select on obs.

Comparison of projections from the different scenarios provides a measure of physical and societal mass bleaching "commitment" given different assumptions about the adaptability of coral reef ecosystems.

Given different assumptions about the survival time following infection and different parametric forms of the infection curve, the credible interval in which that incidence may have peaked was between 1988 and 1992.

The use of harmonization procedures (Sun et al. 2011) to reduce variability between multiple studies has allowed for more direct comparison of similar production frameworks given different assumptions.

The QALY gains from preventing these infections are smaller because these human papillomavirus types account for a minority (about 30%) of cervical cancers in the UK. Figure 1 shows cost effectiveness acceptability curves for this vaccination programme, given different assumptions about the duration of protection from the vaccine.

Our focus for much of the rest of this entry is on the possibility and the reasonability of believing there is an afterlife for individual persons, though we will offer some observations along the way about the kinds of afterlife that are possible, given different metaphysical assumptions.

Using a similar method, they estimated that six of the 81 non-fatal overdoses in the MSIC that required naloxone during its first 18 months of operation would have resulted in a fatality, or between four and nine deaths prevented per annum, given different methodological assumptions.

Figure 3 illustrates the sensitivity of these probability estimates given different prior assumptions about the strength of the epidemiological link.

We conducted a number of sensitivity analyses to assess the robustness of our primary findings, given different modeling assumptions (data not shown).

Different methods give potentially different results, because they make different assumptions about the reasons for missingness.

However, this is not too surprising, given that the metrics are based on different biological and/or statistical models and have different assumptions, statistical methodologies, and false positive/negative rates.