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Most of these methods deal with common situations of truncated sampling, i.e. only those members which have a first measurement beyond (or below) a predefined cut-point are sampled.
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Analysis of variance or t tests were used to compare mean depressive symptoms and χ tests for percent above predefined cut points, by sex and race/ethnic group.
The risk of recurrence score (ROR-S) classified patients as having high, medium, or low risk of relapse using predefined cut-points as described previously [ 19].
We applied a predefined cut-off level of 98.5% to attribute all sequences to different genes, while allowing maximally two alleles per gene per species.
Finally, we used a predefined cut-off limit of 75% or more of the participants scoring the themes at 4 or 5, as did Deneckere and colleagues [ 22].
Firstly, the Brazilian dataset was analyzed to verify correlations below a critical cut-point (r = 0.40).
Short term, one study was able to show an increases probability of reducing the depression score below a clinically relevant cut-point [ 36].
However the proportion below a cut-point is not affected if the transformation function is continuous and monotonic such as logarithm, square root, reciprocal etc.
A high proportion of the patients indeed got "Much better", but a lesser improvement was acknowledged to be clinically important also, because an MCII cut-point estimation based solely on "Much better" would take 73% of the patients below the MCII cut-point in at least 1 HOOS subscale, which is clearly too many and would reduce the clinical value of this cut-point.
Seven participants (15%) scored below the recommended cut-point for lower global cognitive functioning (score < 80).
Socioeconomic Indices for Areas (SEIFA) 17 were assigned to each patient based on residential postcodes and divided into quintiles, based on predefined cut-off points.
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