Sentence examples for maximising information for from inspiring English sources

Vessels were selected with replacement and with probability proportional to predicted catching power and effort, and inversely proportional to average trip length, thereby giving priority to those expected to catch the most fish whilst maximising information for each observer-day at sea.

It should be pointed out, however, that the data collection form was designed to maximise information for the first and second character levels because the data collectors were often non-clinical people associated with community football teams.

Broadly speaking, there are two strategies for combining information: 'sensory cue combination', which maximises information from different sensory sources and 'sensory cue integration' which reduces the variance of the final perceptual estimate (Ernst & Bülthoff, 2004).

To maximise information from the available dataset in analyses, a second measure of PMV was defined as ventilation for 21 days or more with no reference to consecutive days ventilated.

To maximise information on reasons for discrepancies in reporting of primary outcomes, investigators from all trials included in a Cochrane review that were suspected of outcome reporting bias for the review primary outcome were approached for interview (n=85).

Although less suitable for the development of a clinical prediction score for clinicians, continuous variables maximise information 15 22 and can be utilised in computer-assisted diagnostic pathways.

Character coding was strictly binary to maximise information content [ 32].

Of these, four had injections of the same fluorescent tracer in opposite hemispheres to maximise information.

As well as reducing the economic cost of gaining further information (which is what we imply by efficiency here) we believe such methods also potentially have benefits from an ethical perspective by maximising the information gained for each new patient randomised.

The primary analysis of spectral binned data maximises the information available for tumour classification but does not give precise information on metabolite levels.

The use of probabilistic record linkage to combine information from multiple data sets allows for the development of algorithmic approaches for filling in missing data on one data set with information from other data sets [ 19, 20], or calculating a best practice indicator maximising available information across multiple data sets.