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Re: Correct way to normalize an rmsd-based distance metric used in repeated trials of pairs
Posted:
Apr 20, 2012 2:31 PM
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But for a1 fold, length interval 73-82, results not so good as for two previous length intervals:
0,0,160,430 0,1,103,197 1,0,171,310 1,1,108,520
Descriptives...
542 cases have Y=0; 1457 cases have Y=1.
Variable Avg SD 1 0.5548 0.4970 2 0.4642 0.4987
Iteration History... -2 Log Likelihood = 2336.3714 (Null Model) -2 Log Likelihood = 2317.8293 -2 Log Likelihood = 2317.7813 -2 Log Likelihood = 2317.7813 -2 Log Likelihood = 2317.7813 (Converged)
Overall Model Fit... Chi Square= 18.5901; df=2; p= 0.0001
Coefficients and Standard Errors... Variable Coeff. StdErr p 1 0.1345 0.1039 0.1952 2 0.3883 0.1052 0.0002 Intercept 0.7450
Odds Ratios and 95% Confidence Intervals... Variable O.R. Low -- High 1 1.1440 0.9333 1.4023
2 1.4744 1.1998 1.8119
X1 X2 n0 n1 Calc Prob 0.0000 0.0000 160 430 0.6781 0.0000 1.0000 103 197 0.7564 1.0000 0.0000 171 310 0.7067 1.0000 1.0000 108 520 0.7804
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