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. Author manuscript; available in PMC: 2011 Feb 1.
Published in final edited form as: Neuroimage. 2009 Oct 27;49(3):2033. doi: 10.1016/j.neuroimage.2009.10.055

Table 2. Accuracy of Different Binary Logistic Regression Models.

Multiple binary logistic regressions were computed to test how successful different combinations of independent variables (column 1) were able to classify the dominant hemisphere for language according to Wada outcome. Overall accuracy is given (column 2), as well as performance for left (column 3) and right (column 4) Wada patients.

Predictor(s) in Model Overall Accuracy L Wada Accuracy R Wada Accuracy
DTI 19 of 23 16 of 19 3 of 4
fMRI 20 of 23 17 of 19 3 of 4
Handedness 20 of 23 17 of 19 3 of 4
DTI + fMRI 20 of 23 17 of 19 3 of 4
DTI + Handedness 20 of 23 17 of 19 3 of 4
fMRI + Handedness 21 of 23 19 of 19 2 of 4
DTI + fMRI + Handedness 22 of 23 18 of 19 4 of 4