Sentence examples for measures were categorised from inspiring English sources

To further examine this effect, TAOS measures were categorised in tertiles.

The extracted measures were categorised as either single-item or multi-item measures.

Other than BMI, measures were categorised using quartile distributions of participants.

Measures were categorised into ratio-based, procedure-based, care-based and diagnostic or casemix-based methodologies.

Lastly, the outcome measures were categorised according to the major domains of cognition and emotion, functioning, quality of life or multidimensional.

SES was based on SEIFA quintiles and ARIA+ measures were categorised as major city and other (i.e., inner regional, outer regional, remote/very remote).

Also, the UK and Dutch cohorts used different instruments to measure mood (and pain), and this is likely to contribute to discrepancies when these measures are categorised to indicate presence/absence (or degree) of symptoms.

The subscales of each measure were categorised as measuring perceived, experienced or self-stigma using descriptions in the scale development papers.

Each measure was categorised into three groups of similar size (tertiles).

For example, if a measure included an item that examined whether a patient was provided with information on long-term side effects, the measure was categorised as meeting the information and communication dimension, but not the physical comfort dimension.

The whole-body exposure measure was categorised into five different categories (A, 0 to 20; B, 24 to 42; C, 48 to 64; D, 72 to 86; and E, 96 to 120) with the aim to weight the score so that seldom use over the whole body never got the same score as daily use on one single part of the body (Table 2).