Sentence examples for categorised results from inspiring English sources

In an alternative analysis where contemporaneous diversity is categorised (results not shown), the authors found diversity to be statistically significant in the OLS but not in the FE estimation.

Secondly, we categorised results according to a defined set of cost effectiveness thresholds: WHO-CHOICE denotes an intervention as "cost effective" if it produces a healthy year of life for less than three times the gross domestic product (GDP) per capita, and as "very cost effective" if it produces a healthy year of life for less than the GDP per capita.

κ values were used to categorise results as very good (0.81 1.0), good (0.61 0.8), moderate (0.41 0.6), fair (0.21 0.4) or poor (0 0.2). 9 The McNemar test was used to compare seroconversion rates between the automated RPR test and the conventional manual RPR card test and was performed using SPSS Statistics V.20.

The categorised pooled results suggested slightly favourable results toward taxane, platinum, or both in comparison to regimens without any of them, but failed to confirm the effect, mainly due to heterogeneity between the small number of small-sized studies.

In addition to reporting the size of effect, to aid interpretation, we categorised the results using the definitions proposed by Grimshaw et al 13 for dichotomous outcomes (absolute difference): 'Small' to describe effect sizes ≤5%; 'Modest' to describe effect sizes >5% and ≤10%; 'Moderate' to describe effect sizes >10% and ≤20%; 'Large' to describe effect sizes >20%.

To investigate the concordance between the three tests we categorised the results in five categories with values of 2, 5 and 20 times the upper limit of normal.

Instead we adopted a semi-quantitative descriptive approach which categorised the results of individual analyses according to whether each minority group considered showed evidence of more or fewer mental health problems than the White/White British/general population children in the study.

However, this was minimised by only having two analysers, who both used the same set of criteria for categorising results.

All commercial assays used to measure the presence of Hepatitis C virus (HCV) antibodies set cut-off points to categorise the results, but the problem of false positive results in screening hepatitis C sera is well known.

Categorising the results according to a nation's economic status, researchers found that breastfeeding in high-income countries slashed the risk of sudden infant death by more than a third.

Our audit relied upon the subjective classification of illnesses in order to categorise MCV results by explicability, and hence was subject to operator bias.