Table 3 |
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|
Multiple logistic regression model. |
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|
Estimate |
Std. Error |
t value |
Pr(>| t|) |
|
|
|
||||
|
(Intercept) |
-1.187 |
0.4558 |
-2.603 |
0.009 |
|
CK56 |
0.032 |
0.2460 |
0.131 |
0.896 |
|
ER |
-0.009 |
0.0452 |
-0.207 |
0.836 |
|
HER2 |
0.226 |
0.1577 |
1.434 |
0.152 |
|
|
||||
|
Null Deviance: 170.1; Residual Deviance: 167.8; AIC: 175.8; Degrees of Freedom: 146 The estimate for the regression coefficients show the change in YB-1 corresponding to a unit change in the corresponding marker (ER, HER2, CK5/6), conditional on the other markers remaining constant. No significant correlation can be seen between YB-1 and one of the other markers. |
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|
Dahl et al. BMC Cancer 2009 9:410 doi:10.1186/1471-2407-9-410 |
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