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. Author manuscript; available in PMC: 2013 Aug 1.
Published in final edited form as: J Dermatol Sci. 2012 May 27;67(2):147–152. doi: 10.1016/j.jdermsci.2012.05.003

Table 2.

Statistical parameters for multivariable regression

Model df r2 adjusted r2 SE of the estimate F p-value
Risk-index based regression
 21 genes 21 0.704 0.635 17.930 10.178 <0.0001
 21 genes + gender 22 0.724 0.656 17.406 10.604 <0.0001
 21 genes + gender + race 23 0.758 0.695 16.390 11.979 <0.0001
 8 significant genesa 8 0.631 0.603 18.696 22.454 <0.0001
 8 genes + gender 9 0.661 0.632 18.011 22.523 <0.0001
 8 genes + gender + race 10 0.698 0.669 17.081 23.800 <0.0001
β-coefficient based regression
 21 genes 21 0.656 0.577 19.214 8.269 <0.0001
 21 genes + gender 22 0.683 0.605 18.565 8.795 <0.0001
 21 genes + gender + race 23 0.707 0.631 17.945 9.322 <0.0001
 7 significant genesb 7 0.561 0.533 20.289 19.570 <0.0001
 7 genes + gender 8 0.588 0.557 19.759 18.909 <0.0001
 7 genes + gender + race 9 0.612 0.579 19.262 18.411 <0.0001

df- degrees of freedom, r- multiple correlation coefficient, SE- standard error, F- F-statistic

a

CsmD1, FibCD1, Fibulin 5, LASS4, MAPK8, SEMA6A, SLIT3 and SMOC2

b

CsmD1, FibCD1, Fibulin 5, GALP, LASS4, MAPK8, SEMA6A