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. Author manuscript; available in PMC: 2012 Oct 1.
Published in final edited form as: Bone. 2011 Jul 19;49(4):886–894. doi: 10.1016/j.bone.2011.07.006

Table 2.

a. Multiple regression models for EFEM, VMCV and VMExp/σapp. For comparison with previous work [59], models were constructed using a stepwise regression that included BV/TV.Av, BV/TV.SD, Tb.N.Av, Tb.N.SD, -#Euler/Vol and DA as explanatory variables. BV/TV.Av was forced to stay in the model in order to determine contributions from other variables that are independent of BV/TV.

b. Multiple regression models for EFEM(λ) VMCV(λ) and (VMExp/σapp) (λ) after elimination of Tb.N.Av. Models were constructed using a stepwise regression that included BV/TV.Av(λ), BV/TV.SD(λ), Tb.N.SD(λ), -#Euler/Vol(λ) and DA(λ) as explanatory variables. BV/TV.Av(λ) was forced to stay in the model in order to determine contributions from other variables that are independent of BV/TV.

Response Term Estimate t ratio p<

EFEM (r2adj=0.93; p<0.0001) BV/TV.Av 2650.5 28.07 0.0001
BV/TV.SD −1962.5 −2.79 0.007
DA 52.73 2.47 0.02
Intercept −190.3 −4.71 0.0001

VMCV (r2adj=0.68; p<0.0001) BV/TV.Av −1.865 −10.95 0.0001
BV/TV.SD 3.611 2.84 0.006
DA −0.2347 −6.10 0.0001
Intercept 1.312 18.01 0.0001

VMExp/σapp (r2adj=0.78; p<0.0001) BV/TV.Av −40.99 −2.94 0.005
Tb.N.Av −5.764 −2.89 0.005
DA −2.992 −2.38 0.02
Intercept 28.63 12.75 0.0001
Response Term Estimate t ratio p<

EFEM (r2adj=0.93; p<0.0001) BV/TV.Av(λ) 2852.5 24.03 0.0001
BV/TV.SD(λ) −1915.0 −2.39 0.02
DA(λ) 59.27 2.76 0.008
-#Euler/Vol(λ) −99.56 −3.15 0.003
Intercept −1915.0 −2.39 0.0001

VMCV(λ)(r2adj=0.74; p<0.0001) BV/TV.Av(λ) −1.837 −12.95 0.0001
BV/TV.SD(λ) 4.209 3.55 0.0007
DA(λ) −0.1781 −5.59 0.0001
Intercept −0.6122 11.89 0.0001

(VMExp/σapp)(λ) (r2adj=0.98; p<0.0001) BV/TV.Av(λ) −75.75 −45.62 0.0001
DA(λ) −1.138 −3.83 0.0003
-#Euler/Vol(λ) 1.094 2.26 0.03
Intercept 28.63 12.75 0.0001