A flexibility matrix using piecewise incremental responses offers improved predictions over one using linear methods (p<0.01).
Each listener was given 30 pairs, one version using actual contours of and one using linear approximations to Fg, Ag and Fc.
Of the four reporting on prevalent HSV-2 seropositivity, one used repeated measures regression models to assess viral loads over roughly half a year [ 13], two reported changes in viral load at fixed time points [ 15, 17], and one used linear regression to assess the viral load set point, defined as the numeric average of the 8- and 12-week post-infection levels [ 12].
Also, in further studies an alternative approach will be evaluated: a model discretization will be applied and the parameter results will be compared to the ones obtained using linear interpolation.
A reasonable predictive approach that considering the number of cycles of low-amplitude loading in one block using linear cumulative fatigue damage rule has been established based on repeated two-step amplitude loading test results, and its precision was confirmed through random-amplitude loading tests.
The cost diary at baseline and one year after baseline was used to calculate health care use and costs over the course of one year, using linear interpolation between the two time measurements.
For each split, we optimized the weights for the aggregate biomarker on one training subpopulation (using linear discriminant analysis) and we evaluated the resulting aggregate marker on the other evaluation subpopulation.
The association between cytokine levels and CKD at 1 year among patients who survived to one year was examined using linear regression, where the average cytokine levels through one year were compared among those with and those without CKD, as determined by their GFR at this time.
For clarity, we compare the observed wind speed values with the estimated ones using a linear model [3] with our proposed algorithm for a period of 100 days as shown in Figure 6.
We compute one single feature per part using linear discriminant analysis, obtaining thus a final feature vector with five components. .
