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The best two-component model (R2 = 0.994) identified by stepwise regression analysis for hydrolyzable C pool included microbial C biomass and water-extractable C. Our data demonstrate that acid hydrolysis with HCl can provide meaningful estimates of C pools in sandy, low C coastal plain soils.
Among the six CSF biomarkers identified by stepwise logistic regression analysis in the current study, Aβ42 and tau [8] [11], YKL-40 [137], and chromogranin A [223] show higher levels in CSF than in plasma; carnosinase I levels appear similar in CSF and serum [110]; NrCAM levels appear higher in serum than in CSF, although the forms of NrCAM present in these fluids may differ [224].
The marked independent risk factors of mortality were identified by stepwise method of Wald's forward selection.
The final multivariate logistic regression models were identified by stepwise regression.
Multivariate determinants of log-transformed progenitor cell counts were identified by stepwise multiple linear regression analysis.
Second, these proteins were used as input for logistic regression, and the most discriminative proteins were identified by stepwise selection.
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Third, independent prognostic factors were identified by a stepwise logistic regression analysis.
Nevertheless, an ANOVA test confirms that the two factors identified by the stepwise regression are the most significant (Additional file 1: Appendix C).
Significant covariates were identified by forward stepwise regression.
Further, a final, simpler model was identified by backward stepwise selection of variables significant at the 0.05 level.
The risk factors identified by backward stepwise selection did not change within each stratum (Additional file 1: Table S1 S4).
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