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The GRA method may be summarised into four steps: Step 1 Data normalisation.
The problems can be summarised into four main categories: cohort selection, statistical analysis, validation of results and reporting of raw data.
A large proportion of the comments could be summarised into four categories: should be implemented (e.g. excellent idea, about time), should not be implemented (e.g. bad idea), not sure and no opinion (Table 7).
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The learning methods the community used can be summarised into two overarching categories: face-to-face and online learning.
The results obtained can be summarised into two simple equations, which depend only on the most dominant parameters.
The 8 scales can be summarised into two summary scores for physical and mental health, respectively.
Results of our analysis can be summarised into five main findings: Quality of PC coding has improved year-over-year.
The social mobilisation – and thus, community mobilisation when restricted to a community – is summarised into four interrelated and complementary pillars: advocacy and awareness, social marketing, behavioural change communication (BCC) and capacity strengthening (Fig. 2), each of which is briefly described below along with its rationale.
Items are summarised into eight subscales.
KIDSCREEN-52 provides detailed information within ten HRQoL dimensions, KIDSCREEN-27 is a shorter version of KIDSCREEN-52 in which the ten dimensions are summarised into five dimensions.
All cases were summarised into two groups, negative for Snail expression (score 0) or positive for Snail expression (scores 1+, 2+, and 3+).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com