. Author manuscript; available in PMC: 2009 Apr 1.

Published in final edited form as: Bone. 2007 Dec 28;42(4):743–750. doi: 10.1016/j.bone.2007.12.009

Table 3.

Multivariate analysis comparing percolation parameters with morphological and compositional bone traits

Equation	R²-adj
CorrL=0.2-0.8 Tb BV/TV+1.5 TbN-0.1 TMD+13.4 CtAr+0.1 weight	0.617
ChemL=13.7-9.8 Tb BV/TV 0.6 TbN-0.02 TMD+11.5 CtAr+0.05 weight	0.562
BboneMass=-29-50 Tb BV/TV+12.4 TbN-0.06 TMD+120 CtAr+0.7 weight	0.777
Ct:Tb Nodes=3.9-9.0 Tb BV/TV+0.1 TbN+3.8 CtAr-0.04 weight	0.681
%hub=1.3-0.14 Tb BV/TV-0.04 TbN-0.001 TMD+0.001 CtAr+0.01 weight	0.331
Tb:Ct Struts=-16.4-24.4 Tb BV/TV+6.2 TbN-0.03 TMD+58.3 CtAr+0.4 weight	0.774

Multiple linear regression analysis was conducted to determine the amount of inter-strain variation in correlation length (CorrL), chemical length (ChemL), backbone mass (BboneMass), the ratio of cortical to trabecular nodes (Ct:Tb Nodes), and the ratio of trabecular to cortical struts (Tb:Ct Struts). The constants or traits shown in bold depict terms in the regression model showing significant (p<0.05) or borderline significant (p<0.1) contributions. R² values were adjusted for number of independent variables.