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The percentage recovery for spiked samples in metal determinations ranged from 94% to 104%, which indicate that the results are accurate and unbiased.
The CV for VEGF determinations ranged from 4.9%to9.5%5%, and that for bFGF from 3%to13.3%3%to13.3%
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The remaining patients formed the molecularly responsive (MR) subset, with all MRD signals below 10−4, and two molecularly resistant groups with one or more MRD determinations ranging from 10−4 to <10−3 (MR1) and ⩾10−3 (MR2).
These plasma determinations range from simple and inexpensive tests such as erythrocyte sedimentation rate (ESR) (Thelander and Larsson 1992, Meyer et al. 1995) to the complex determination of soluble biomarkers of inflammatory response such as quantification of cytokines (Huang et al. 2005).
Across the 15 combinations examined, the coefficient of determination ranged from 0.993 to 0.999, averaging 0.998.
The coefficients of determination ranged from 0.167 for shrub cover, to 0.906 for dominant height.
(Norway spruce) and Pinus sylvestris L. (Scots pine) where the coefficient of determination ranged from 0.6 – 0.71 (Næsset and Okland 2002).
The strength of these relationships is broadly consistent with research on coniferous species within Norway where coefficients of determination ranged from 0.39 to 0.78 (Næsset 2002).
For quantification of AOA and AOB, the amplification efficiencies were in the range from 90to96%6% and the correlation coefficient (r2) of the determination ranged from 0.95 to 0.99 for all of the standard curves.
Coefficients of determination ranged from 0.62 to 0.94 for models predicting basal area in coniferous forests in the United States of America (Means et al. 1999), Norway (Næsset 2004b, 2005, 2002) and Denmark (Nord-Larsen and Schumacher 2012).
The adjusted coefficient of determination ranged from 0.024 to 0.191 for the final selected models considering the associated markers only and from 0.039 to 0.261 for the final selected models considering all target markers.
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