Fetal growth in relation to growth of the placenta was assessed by considering the residual birth weight variation after that predicted by placental weight was removed by linear regression.
The covariance was removed by linear regression as previously described (15), and the residuals were used in the following analysis.
A small amount of 2PEF was detected in the SHG channel due to imperfect filtering, and was removed by linear combination of the raw images.
Dye bias was removed by linear normalization using the Agilent Feature Extraction Software before the intensity values were used to calculate ratios at each feature.
Components that had a correlation coefficient with a P-value of >0.1 when compared with the stimulus paradigm, that is, uncorrelated, were removed by linear regression to form a denoised data set.
a The model perpendicular to the channel, b e the planar geometry of the four periods of the channel (corresponding to slices 1, 2, 3, and 4), f a 20 Hz Ricker wavelet synthetic section (corresponding to (a)), g corresponding to slice A, and h corresponding to slice B. Local diachroneity on stratal slices can be removed by non-linear processing.
Fortunately, this bias can be removed by applying a simple linear correction to the integrated log likelihood scores derived from the naive Bayes classifier.
Analysis using LS-DYNA occasionally results in some unrealistic high frequency acceleration 'noise', which can be removed by smoothing the piece-wise linear backbone curve.
The deterministic task-related brain activity can be properly modeled using a linear model, and can be removed by regression approaches.
