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The second approach was selected based on graphical comparison and its plausibility, particularly at the butt log.
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Comparisons based on graphical representations are made between numerical and exact solutions.
Their comparisons were based on graphical representations of the cumulative incidence function (i.e., the probability for a specific event occurring before a given time t) and they have shown that the estimates of the cumulative incidence functions obtained with the joint modelling of hazards were very close to the non-parametric estimates [ 27].
Based on graphical residual analyses the data was assumed to be approximately normally distributed.
Furthermore, numerical characterisation techniques based on graphical representations have enabled quantitative estimations of sequence similarities and dissimilarities [see review 14].
aPercent is estimated based on graphical display of data.
c Percent is estimated based on graphical display of data.
Unsupervised normalization methods make data transformations based on graphical trends visible in diagnostic plots.
Most methods based on graphical networks aim at finding out weak points in the network.
Such analysis, based on graphical models, explicitly incorporates the dependence structure among genes highlighted by the topology of pathways.
If no response was received, where possible, we acquired data based on graphical illustration in published papers.
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