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We used the resulting cumulative distribution functions (CDFs) from each subject to compute the average CDF for each stimulus type.
At least three pretherapy serum PSAs were available for each subject to compute pretherapy PSA slope.
Artemisinin exposure was extrapolated from AUC0 ∞ by Clast/λz for each individual subject to compute total drug exposure.
Drug exposure was extrapolated from the last observed concentration (Clast) to infinity by Clast/λ Z for each individual subject to compute total drug exposure (AUC0-∞).
Drug exposure was extrapolated from the last observed concentration to time infinity by Clast/λZ for each individual subject to compute total drug exposure (AUC 0,∞)).
Exposure was extrapolated from the last observed concentration to infinity by Clast/λZ for each subject to compute total drug exposure (AUC0 ∞).
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These individual percentile values within each shift category were then averaged across subjects to compute the final cumulative distributions for the day, first night and subsequent night shifts (Figure 3, left panel).
Predictive equations were applied to the subjects to compute predicted strength values.
Stress MRIs were performed in 30 subjects (8 healthy control subjects) to compute myocardial perfusion reserve index (MPRI).
To evaluate periodicity in the distribution of α-actinin, 256 × 256 pixel, corresponding to 12 × 12 μm, sample areas of fluorescence images of α-actinin were subjected to computing autocorrelation analyses as described previously (Peterson et al., 2004) using the ImageJ program (NIH, version 10.2).
Specifically, we first classify subject replicates at the sample-level and then perform a majority vote across the subject replicates in order to compute subject classification.
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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