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The association of type of breakfast (cereal breakfast vs breakfast without cereal) with the outcomes of interest was estimated using regression techniques.
Films were scanned and density of the proteins of interest was estimated using the ImageJ software.
The precision for the comparison of interest was estimated, using a sample size of 16 subjects and based on the largest average estimate of within-subject variability (%CVw) for the CYP450 substrates to be studied (28.0 % for rosuvastatin AUC0 ∞; GlaxoSmithKline, data on file).
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For each resampled data set, the location of the QTL of interest is estimated using a particular QTL estimation method.
Slow (0.7 0.8 Hz), delta (1.0 4.0 Hz), theta (4.0 8.0 Hz), alpha (8.0 12.0 Hz), and spindle-range (12.0 14.0 Hz) frequency band spectral densities for each interval of interest were estimated using a Hanning taper method of spectral estimation ('mtmconvol' spectral calculation method in Fieldtrip, with taper set to hanning).
Modelling errors in the regions of interest were estimated using ModFOLD [ 70]; all models had high levels of confidence with P-values less than 0.002 and Global model quality scores greater than 0.37.
For each subject, the predicted survival probabilities, at the times of interest, are estimated using the multivariable model, assuming each subject is in the experimental treatment group; then the predictions are averaged; the same predictions are obtained and averaged assuming each subject is in the control group.
For evoked analyses X was the mean power of the evoked time series within the time window of interest and S was estimated using a jackknife procedure (due to power being calculated after averaging over trials).
Keeping the above observations in mind, in the proposed method, for the set of promoter sequences of interest, the significance of co-occurring pairs was estimated using a random sampling procedure.
1/S' was estimated using BlastPhen.
RNA concentration was estimated using nanodrop spectrophotometer.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com