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. 2011 Oct 20;12:516. doi: 10.1186/1471-2164-12-516

Table 2.

Logistic regression analysis for RNAPII CTD phosphorylation Whole model test

Model Log likelihood DF Chi-square Prob > ChiSq
Difference 1132.762 2 2265.525 < 0.0001
Full 12914.338
Reduced 14047.1
Rsquare (U) 0.0806
Observations (or sum weights) 13462

Parameter estimates

Term Estimate Std Error Chi-square Prob > ChiSq Lower
CI (95%)
Upper CI
(95%)

Intercept [S2P- S5P-] 0.6877 0.0445 238.89 < 0.0001 0.6005 0.7749
log2(FPKM+1) [S2P- S5P-] -0.4149 0.0158 691.98 < 0.0001 -0.4458 -0.384
Intercept [S2P+ S5P+] -0.2791 0.0412 45.89 < 0.0001 -0.3599 -0.1984
log2(FPKM+1) [S2P+ S5P+] 0.2127 0.0105 410.32 < 0.0001 0.1921 0.2333

For log odds of [S2P-S5P-]/[S2P-S5P+], [S2P+S5P+]/[S2P-S5P+]