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For example, the expected number of Big 4 cases in the 'most favourable scenario' was estimated by applying the predicted values from the fitted multivariate logistic regression model to the duplicate dataset in which all women were hypothetically reassigned to above listed scenario (e.g. highest SES category).
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Therefore the predicted utilization rate for this list scenario = 69.8%.
Under the current waiting list scenario (FIFO) there was no reduction in the waiting time range among regions.
Simulation of the current waiting list scenario (FIFO) showed that the raw mean waiting time of patients who underwent surgery in the public sector varied from 1.97 months (95% CI 1.85; 2.09) in the Basque Country to 10.02 months 955% CI 9.91; 10.12) in the Canary Islands, Table 3.
It needs further consideration how to include in the contingency list scenarios of cascading nature which best reflect the most up-to-date system state.
The balanced sequencing strategy maintains power in the last scenario listed.
It is also possible that the antisocial behaviors listed in the scenario were considered more negative than the prosocial behaviors were considered positive, potentially enhancing response latencies due to negativity biases in person perception [46].
Table 1 lists various scenarios in this regard and the possible ways to get the MIHF ID.
Table 2 lists the scenarios, settings, conditions and accompanying design variables that can be used in any role-play and the italicized parts of table were all identified as being relevant in the design of the Volcanic Hazards Simulation.
The column on the left of Table 3 lists the scenarios we considered for northern India.
The column on the left of Table 2 lists the scenarios we considered for Tajikistan.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com