The phrase "generalised data" is correct and usable in written English.
It can be used when referring to data that has been simplified or made more general, often for the purpose of analysis or reporting.
Example: "The research team presented their findings based on generalised data to highlight the overall trends observed in the study."
Alternatives: "aggregated data" or "summarised data".
By using a statistical approach, we were able to generalise data available on T-junctions into general rules of behaviour.
The chief limitation of qualitative studies stated is the inability to generalise data [ 18, 15].
Furthermore, it is difficult to generalise data if mobilisation strategies are introduced into ICUs in the absence of any benchmarking of practise or barriers to mobilisation.
After consecutive discussions for the reconciliation of their opinions, the researchers confirmed the concepts and generalised the data with categories.
Generally, where there are found to be numbers of events less than 5 per unit of analysis, methods are applied to suppress and/or generalise the data.
Others were more reserved, noting that HRQoL changes both over time and between patients (" Responses to illness are highly individual, with difficulty in generalising QoL data" ), thus limiting its utilization.
In the other study (112 patients presenting for elective major vascular surgery), patients were preselected on the basis of positive dobutamine stress echocardiograms from an initial cohort of 1351 patients, which makes it difficult to generalise these data to a population not selected in this manner [ 16].
Conclusions drawn on such test beds cannot be generalised, because particular data characteristics may favour certain learners unnoticeably.
As the wealth of available genomic data grows exponentially, methods that reduce, generalise and interpret data are in greater demand than ever, and as such we see prolific application of this form of genomic inference in the future.
Based on a vertical slice and multiple-pass moving-window averaging approach, slope data are generalised to the river reach scale (1 2 km) as a representative spatial scale for fluvial processes operating over Holocene timescales.
