The phrase "analysis the likelihood of" is not correct in English.
Did you mean "analyze the likelihood of"? You can use the corrected phrase when discussing the probability or chance of a particular event or outcome occurring.
Example: "In our research, we will analyze the likelihood of success for the new marketing strategy."
Alternatives: "assess the probability of" or "evaluate the chances of".
In schedule risk analysis, the likelihood of missing the deadline against estimates is determined.
In cost risk analysis, the likelihood of cost deviation against estimates is determined.
In a second analysis, the likelihood of infringements from innovation host countries and no-innovation host countries abroad is examined.
In multivariate analysis, the likelihood of injury was higher in children with self-reported hyperactivity/inattention only.
In univariate analysis, the likelihood of injury was higher in children with self-reported hyperactivity/inattention, GAD, ODD and Pro-social difficulties as compared to others.
Based on the logistic regression analysis, the likelihood of larger dome size among anterior circulation IAs was over two times that in the posterior circulation (cutoff value: 11.8 mm; specificity, 82.2 %; sensitivity, 85.9 %) (Fig. 6a).
In univariate logistic regression analysis, the likelihood for awareness of MC for HIV prevention was most pronounced for higher educational level.
Given that the balance of probability suggests that the regime did use the weapons, one possible explanation suggests a profound shift in both the regime's analysis of the likelihood of a meaningful international response and a further worrying development in the Syrian military doctrine for the use of chemical weapons.
The analysis showed the likelihood of admission clearly increased as the ESI score decreased (p<0.0001).
Enrichment analysis increases the likelihood of identifying the biological processes most relevant to the experiment (Huang et al. [2008]).
Computational tools to evaluate the accuracy of peptide identifications from these high-throughput analyses have not kept pace with technological advances; currently the most common quality evaluation methods are based on statistical analysis of the likelihood of false positive identifications in large-scale data sets.
