Sentence examples for optimises the likelihood from inspiring English sources

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Appropriate planning in regard to each of these elements optimises the likelihood of finding an important result that is both clinically and statistically meaningful.

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With all the boxes checked, the task then is to optimise the likelihood of being offered a place by at least one of the chosen institutions.

At the outset of a bold educational innovation, considering deliberate ways to not only deliver but also build for sustainability may optimise the likelihood of maintaining the innovation.

In order to optimise the likelihood of convergence, a separate GLMM analysis was run for each of the four outcome measures.

To optimise the likelihood of future collaboration, GPs and pharmacists who currently or potentially shared patients were paired and seated together around an L-shaped table.

In order to optimise the likelihood of convergence, a separate GLMM analysis will be run for each of the outcome measures (PG-13, CBI, DASS, RTQ, UGRS, MCQ-30, Q-LES-Q-18).

26 27 Qualitative data from this study highlight that the real life barriers and facilitators to living healthy lives need to be addressed concurrently with incentive interventions to optimise the likelihood of effectiveness.

A pragmatic (as opposed to an explanatory) design was adopted so that the conditions of the study would resemble the conditions of ordinary clinical practice so far as possible, thereby optimising the likelihood of the results being relevant to everyday practice [ 10, 11].

Mobilisation during labour is widely acknowledged as a way of optimising the likelihood of normal birth [ 39, 40] and this is reflected in the practices and attitudes described by the midwives, who viewed it as an integral part of their care, despite the challenges faced with this population.

In conventional parameter estimation, the objective function to be optimised is the likelihood function or the χ function.

These numbers are less than the total number of parameters in the models, but represent the number of parameters that were adjusted in optimising the log likelihood.

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