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This calculation indicated for the 500k SNP array that the probability of detecting a single copy-number loss or gain with a genomic size of 50 kb was 87 and 72%, respectively (Supplementary Table 2).
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The initial power calculation indicated that for Time 1, 300 patients per group would have 80% power to detect a mean Time 1 of 86 days in the navigated group, and that 120 cancer patients per group would have 80% power to detect a mean Time 2 of 90 days in the navigated group.
Power calculation indicated a need for approximately 2500 consultations in each subgroup to detect a 25% difference in referral rates (α = 0.05, β = 0.8).
Power calculation indicated a need for some 2500 consultation in each subgroup to detect a 25% difference in referrals rates, alpha 0.05 and beta 0.8.
A power calculation indicated the need for 74 participants (37 participants per arm) to have at least 80% power at the 5% significance level to detect a 10 point difference in QOL scores at 12 months.
A power calculation indicated the need for 10 persons in each group to detect a difference of 20% in changes of proinsulin concentrations, with an α error level of 5% and a power of 80% for a two-tailed Student's t-test.
This approach was taken because of the similar trial designs and contemporaneous enrolment and reading of radiographs adopted in the programme, and because the initial power calculation indicated the need for a sample size larger than would be available from either study individually to detect a significant treatment effect (also see online supplementary text).
The analyses of transformations for calculation indicated consistently that a logarithmic transformation was more suitable for the data, despite the observation of a higher estimate of heritability for H untransformed. Two important reasons argue for the use of the transformation.
This calculation indicated clearly a role for the intertwining of the two chains on the mechanical toughening of the polymer crystal along the chain axis, although the calculated value was an overestimation compared with the observed value.
A power calculation indicated that, after stratification for gender and duration of GMC registration, a subsample of 28 doctors was required.
A power calculation indicated that the achieved power for the study was 0.98.
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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